Model Jobs in Qatar

Civil Digital Draftsman<br>Civil Digital Draftsman is responsible for preparing, developing, coordinating, revising, and maintaining accurate civil engineering drawings and digital models using CAD, BIM, and other relevant design software. The position supports engineers and project teams by converting design information into detailed construction, shop, coordination, and as-built drawings while ensuring compliance with project standards, specifications, and applicable requirements.<br>Responsibilities Prepare accurate 2D civil engineering drawings using Auto CAD or similar CAD software. Convert engineers' sketches, designs, calculations, and markups into detailed digital drawings. Prepare plans, elevations, sections, profiles, details, and layouts. Maintain drawing accuracy, dimensions, levels, coordinates, scales, and annotations. Develop and maintain 3D civil/BIM models using Revit, Civil 3D, or other applicable software. Model civil elements such as roads, surfaces, grading, drainage, utilities, and structures where required. Generate plans, sections, profiles, schedules, and details from digital models. Follow project BIM standards, templates, naming conventions, and modelling requirements. Prepare detailed civil/construction shop drawings based on approved design drawings. Incorporate engineers' instructions, consultant comments, and approved changes. Provide necessary dimensions, levels, sections, construction details, and material information. Revise and reissue drawings as required. Coordinate civil drawings with architectural, structural, MEP, landscape, and infrastructure drawings. Identify conflicts between civil works and other disciplines. Update drawings/models based on coordination meetings and approved solutions. Ensure interfaces between different disciplines are properly represented.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><b><span>Application Specialist - Dynamics 365 CRM &amp; Power Platform</span></b><br></p><br><p><b><span>Job Summary</span></b><br></p><br><p><span>We are seeking an experienced Application Specialist to join our team, specializing in Microsoft Dynamics 365 CRM and Power Platform solutions. This role requires a versatile professional who can handle both functional and technical aspects of Dynamics 365 CRM implementation, while also developing innovative applications using Power Platform technologies.</span><br></p><br><p><b><span>Key Responsibilities</span></b><br></p><br><p><b><span>Dynamics 365 CRM (Primary Focus)</span></b><br></p><br><ul><li><b><span>Configuration &amp; Customization</span></b><span>: Configure Dynamics 365 CRM modules to meet business requirements and perform advanced customizations</span><br></li><li><b><span>Development</span></b><span>: Design and develop custom solutions within the Dynamics 365 platform using appropriate development tools and methodologies</span><br></li><li><b><span>Maintenance &amp; Support</span></b><span>: Maintain and optimize existing Dynamics 365 CRM implementations, ensuring system performance and reliability</span><br></li><li><b><span>Integration Management</span></b><span>: Implement and manage integrations between Dynamics 365 CRM and other business systems</span><br></li><li><b><span>Technical Documentation</span></b><span>: Create and maintain technical and functional documentation for all implementations</span><br></li></ul><p><b><span>Power Platform Development (Secondary Focus)</span></b><br></p><br><ul><li><b><span>Canvas Applications</span></b><span>: Design and develop Canvas apps to address specific business needs</span><br></li><li><b><span>Model-Driven Applications</span></b><span>: Create and customize model-driven applications with seamless integration capabilities</span><br></li><li><b><span>Power Platform Integration</span></b><span>: Implement integrations across Power Platform ecosystem (Power Apps, Power Automate, Power BI)</span><br></li></ul><p><b><span>Advanced Capabilities (Plus/Preferred)</span></b><br></p><br><ul><li><b><span>AI Builder Implementation</span></b><span>: Leverage AI Builder capabilities to create intelligent business solutions</span><br></li><li><b><span>Advanced Analytics</span></b><span>: Implement AI-powered features to enhance business processes and decision-making</span><br></li></ul><p><b><span>Required Qualifications</span></b><br></p><br><p><b><span>Technical Skills</span></b><br></p><br><ul><li><b><span>Microsoft Dynamics 365 CRM</span></b><span>: 3+ years of hands-on experience with functional and technical implementation</span><br></li><li><b><span>Power Platform</span></b><span>: Proficiency in Power Apps (Canvas and Model-Driven), Power Automate, and Power BI</span><br></li><li><b><span>Development</span></b><span>: Experience with customization and development within Microsoft ecosystem</span><br></li><li><b><span>Integration</span></b><span>: Strong background in system integration methodologies and tools</span><br></li><li><b><span>Database Management</span></b><span>: Understanding of data modeling and database concepts</span><br></li></ul><p><b><span>Functional Skills</span></b><br></p><br><ul><li><span>Strong analytical and problem-solving abilities</span><br></li><li><span>Experience in business process analysis and optimization</span><br></li><li><span>Ability to translate business requirements into technical solutions</span><br></li><li><span>Project management and stakeholder communication skills</span><br></li></ul><p><b><span>Preferred Qualifications</span></b><br></p><br><ul><li><b><span>AI Builder</span></b><span>: Demonstrated experience with AI Builder capabilities and implementation</span><br></li><li><b><span>Certifications</span></b><span>: Microsoft certifications in Dynamics 365 and/or Power Platform</span><br></li><li><b><span>Industry Experience</span></b><span>: Previous experience in relevant industry sectors</span><br></li><li><b><span>Advanced Development</span></b><span>: Knowledge of .NET, C#, JavaScript, or other relevant programming languages</span><br></li></ul><p><b><span>What We Offer</span></b><br></p><br><ul><li><span>Opportunity to work with cutting-edge Microsoft technologies</span><br></li><li><span>Professional development and certification opportunities</span><br></li><li><span>Collaborative and innovative work environment</span><br></li><li><span>Competitive compensation and benefits package</span><br></li></ul><p><b><span>Application Process</span></b><br></p><br><p><span>Candidates should demonstrate their experience with both functional and technical aspects of Dynamics 365 CRM, as well as their proficiency in Power Platform development. Portfolio examples and project case studies are highly encouraged</span><br></p><br><br><span>Requirements</span><p><b><span>Required Qualifications</span></b><br></p><br><p><b><span>Technical Skills</span></b><br></p><br><ul><li><b><span>Microsoft Dynamics 365 CRM</span></b><span>: 3+ years of hands-on experience with functional and technical implementation</span><br></li><li><b><span>Power Platform</span></b><span>: Proficiency in Power Apps (Canvas and Model-Driven), Power Automate, and Power BI</span><br></li><li><b><span>Development</span></b><span>: Experience with customization and development within Microsoft ecosystem</span><br></li><li><b><span>Integration</span></b><span>: Strong background in system integration methodologies and tools</span><br></li><li><b><span>Database Management</span></b><span>: Understanding of data modeling and database concepts</span><br></li></ul><p><b><span>Functional Skills</span></b><br></p><br><ul><li><span>Strong analytical and problem-solving abilities</span><br></li><li><span>Experience in business process analysis and optimization</span><br></li><li><span>Ability to translate business requirements into technical solutions</span><br></li><li><span>Project management and stakeholder communication skills</span><br></li></ul><p><b><span>Preferred Qualifications</span></b><br></p><br><ul><li><b><span>AI Builder</span></b><span>: Demonstrated experience with AI Builder capabilities and implementation</span><br></li><li><b><span>Certifications</span></b><span>: Microsoft certifications in Dynamics 365 and/or Power Platform</span><br></li><li><b><span>Industry Experience</span></b><span>: Previous experience in relevant industry sectors</span><br></li><li><b><span>Advanced Development</span></b><span>: Knowledge of .NET, C#, JavaScript, or other relevant programming languages</span><br></li></ul><p><b><span>What We Offer</span></b><br></p><br><ul><li><span>Opportunity to work with cutting-edge Microsoft technologies</span><br></li><li><span>Professional development and certification opportunities</span><br></li><li><span>Collaborative and innovative work environment</span><br></li><li><span>Competitive compensation and benefits package</span><br></li></ul><p><b><span>Application Process</span></b><br></p><br><p><span>Candidates should demonstrate their experience with both functional and technical aspects of Dynamics 365 CRM, as well as their proficiency in Power Platform development. Portfolio examples and project case studies are highly encouraged</span><br></p><br><br> </div>

Company Description<br> <br>Work with Us. Change the World.<br> <br>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.<br> <br>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.<br> <br>We're one global team driven by our common purpose to deliver a better world. Join us.<br> <br>Job Description<br> <br>Job Summary<br> <br>The BIM Manager will lead the BIM management function within the PMCM team, ensuring that the Contractor’s BIM processes, models, and digital deliverables comply with the BIM Execution Plan (BEP), project requirements, information standards, and coordination procedures. The role will support effective multidisciplinary coordination and ensure accurate digital information is delivered throughout the project lifecycle and at handover.<br> <br>Key Responsibilities<br> Lead and manage the BIM function within the PMCM team for airport projects. Review, manage, and monitor the Contractor’s BIM Execution Plan (BEP) and BIM deliverables. Ensure BIM processes and deliverables comply with project requirements, standards, and information management procedures. Oversee multidisciplinary BIM coordination and ensure effective integration of architectural, structural, MEP, civil, and specialist airport systems. Review federated models and monitor clash detection, coordination, and interface issues. Lead BIM coordination meetings and ensure timely resolution of clashes and technical interfaces. Monitor model development, LOD compliance, model quality, and data integrity throughout the project lifecycle. Review BIM submissions and provide technical comments and recommendations to the Contractor. Coordinate with the Client, Consultant, Contractor, and project stakeholders on BIM requirements and digital information management. Verify as-built BIM models and asset information against project and handover requirements. Support the Client in digital asset management and integration of BIM information with FM/asset management systems. Monitor BIM deliverables, submission schedules, and compliance with project milestones. Prepare BIM status reports, dashboards, coordination reports, and management updates. Support the implementation of digital workflows and continuous improvement of BIM coordination processes. <br>Qualifications<br> Bachelor’s degree in Architecture, Civil Engineering, MEP Engineering, Construction Management, or a related discipline. 8–12 years of BIM experience, with relevant experience in large-scale construction, infrastructure, or airport projects. Proven experience as a BIM Manager / BIM Lead on major multidisciplinary projects. Strong knowledge of BIM standards, BEP, LOD, model coordination, clash detection, and information management. Proficiency in Revit, Navisworks, Autodesk Construction Cloud/BIM 360, or equivalent BIM platforms. Experience with multidisciplinary coordination and complex project interfaces. Experience in as-built BIM, asset information, digital handover, and FM integration is preferred. Airport project experience, particularly involving terminal buildings, aviation facilities, infrastructure, or specialist airport systems, is highly desirable. <br>Additional Information<br> <br>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.<br> <br>About AECOM<br> <br>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.<br> <br>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.<br> <br>What makes AECOM a great place to work<br> <br>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.<br> <br>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.<br> <br>Req ID: J10149944<br> <br>Business Line: Transportation<br> <br>Business Group: DCS<br> <br>Strategic Business Unit: ME and Africa<br> <br>Career Area: Digital & Engineering Technology<br> <br>Work Location Model: On-Site

<p>The Enterprise OpenShift Architect owns the design, implementation, and governance of a production-grade Red Hat OpenShift platform running on Azure Virtual Machines (self-managed OpenShift on Azure IaaS). The role spans platform architecture, networking, storage, security, multi-cluster governance (ACM), automation, HA/DR, the operations model, and application onboarding. This is a senior technical leadership role combining architecture ownership with strong hands-on delivery. The architect provides strategic direction for multi-cluster, multi-environment OpenShift deployments supporting enterprise workloads at scale, and works alongside platform engineers to turn that architecture into running infrastructure. <br></p><p>Platform Architecture</p><ul><li><p>Define the OpenShift platform strategy and target-state architecture.</p></li><li><p>Design enterprise clusters across Production, Non-Production, DMZ, and DR environments.</p></li><li><p>Define cluster segmentation and workload isolation strategies.</p></li><li><p>Establish an ACM-based multi-cluster management architecture.</p></li></ul><p>Azure Infrastructure Design</p><ul><li><p>Design the OpenShift hosting architecture within Azure Landing Zones.</p></li><li><p>Define subscriptions, VNets, peering, security zones, and private connectivity.</p></li><li><p>Design integration with enterprise security and identity platforms (Microsoft Entra ID).</p></li></ul><p>OpenShift Platform Design</p><ul><li><p>Design Master, Infra, and Worker node architecture and sizing.</p></li><li><p>Define control-plane, application-plane, and shared-services architecture.</p></li><li><p>Design ingress, routing, registry, observability, and (where required) service-mesh frameworks.</p></li><li><p>Define cluster capacity-planning and scaling models.</p></li></ul><p>Multi-Cluster Governance</p><ul><li><p>Implement Red Hat ACM governance and policy management.</p></li><li><p>Establish centralised lifecycle management for all clusters.</p></li><li><p>Define cluster onboarding and compliance frameworks.</p></li></ul><p>Security Architecture</p><ul><li><p>Design Entra ID integration and SSO architecture.</p></li><li><p>Define RBAC, namespace governance, SCC policies, and pod-security controls.</p></li><li><p>Implement RHACS / ACS security frameworks.</p></li><li><p>Establish image governance and vulnerability-management processes.</p></li></ul><p>Storage & Data Services</p><ul><li><p>Define the storage strategy using Azure native storage, Azure Files, Azure NetApp Files, or OpenShift Data Foundation (ODF).</p></li><li><p>Design persistent-storage architecture and disaster-recovery strategies with defined RTO / RPO targets.</p></li><li><p>Implement backup and restoration capabilities.</p></li></ul><p>Automation & Platform Engineering</p><ul><li><p>Design the GitOps operating model (Argo CD / OpenShift GitOps).</p></li><li><p>Implement Terraform and Ansible-based platform automation.</p></li><li><p>Standardise cluster deployment and lifecycle automation.</p></li><li><p>Establish Platform-as-Code methodologies.</p></li></ul><p>Operations & Production Readiness</p><ul><li><p>Define monitoring, logging, backup, patching, and upgrade models.</p></li><li><p>Develop operational runbooks and support procedures.</p></li><li><p>Lead production-readiness reviews and operational handovers.</p></li><li><p>Coordinate with Red Hat support and manage the subscription / entitlement model.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Experience</p><ul><li><p>8+ years of infrastructure and platform-engineering experience.</p></li><li><p>4+ years in OpenShift / Kubernetes architecture or senior platform engineering.</p></li><li><p>Proven delivery of at least one production-grade enterprise OpenShift platform.</p></li><li><p>Hands-on experience running OpenShift on Azure (self-managed on VMs strongly preferred; ARO experience considered with willingness to ramp on self-managed).</p></li><li><p>Strong background in Kubernetes, automation, security, and platform operations.<br></p></li></ul><p><strong>Certifications (preferred)</strong></p><ul><li><p>Red Hat Certified Specialist in OpenShift Administration (EX280) or equivalent.</p></li><li><p>Red Hat Certified Architect (RHCA) — a strong plus.</p></li><li><p>Microsoft Azure certification (AZ-104 / AZ-305) — advantageous.</p></li></ul>

We are seeking an experienced Business Analyst / Corporate Banking SME to support large-scale Temenos T24 Core Banking transformation programs across Retail and Corporate Banking operations. The ideal candidate will have extensive experience in Middle East banking, strong expertise in Retail, Corporate, and Islamic Banking, and proven hands-on experience with Temenos T24, Islamic AA, and TPH implementations. The role will focus on business requirements, operating model transformation, process mapping, data migration, testing, business readiness, and stakeholder management. Key Responsibilities Business Analysis & Requirements Management Gather, analyze, and document business requirements for T24 transformation programs. Prepare and maintain:Business Requirement Documents (BRDs) Functional Specification Documents (FSDs) Process Documentation Requirement Traceability Manage requirements, scope control, and change requests. Conduct workshops with business and operations stakeholders. Coordinate requirements with implementation partners and vendors. Retail & Corporate Banking Operations Act as a Retail & Corporate Banking Operations SME for back-office transformation. Support banking operations covering:Accounts Deposits Financing Payments Corporate Banking Islamic Banking Analyze existing operational processes and identify improvement opportunities. Define business rules and operational workflows. Core Banking Transformation Support end-to-end Temenos T24 / Temenos Transact transformation initiatives. Participate in current-state assessment and future-state solution design. Perform business process mapping and gap analysis. Define and validate the Target Operating Model (TOM). Ensure future-state processes align with business and operational objectives. Islamic Banking Provide SME expertise for Islamic Banking transformation initiatives. Support Temenos Islamic AA and TPH implementations. Validate Islamic banking business processes, products, rules, and operational requirements. Work closely with functional and technical teams to ensure Islamic banking requirements are correctly implemented. Data Migration & Reconciliation Support data migration planning and execution. Define data mapping and transformation requirements. Support data cleansing and validation activities. Validate migrated customer, account, deposit, financing, and transaction data. Support balance reconciliation and migration validation. Identify and resolve data migration issues. Testing & UATLead business participation in testing activities. Prepare business test scenarios and UAT test cases. Support:System Integration Testing (SIT) User Acceptance Testing (UAT) Regression Testing Validate requirements against implemented functionality. Lead defect triage and coordinate defect resolution. Support business sign-off and production readiness. Change Management & Business Readiness Develop operational readiness plans. Prepare Standard Operating Procedures (SOPs). Develop user manuals and operational documentation. Conduct business-user training. Support change adoption and transition activities. Ensure business teams are prepared for the new T24 operating environment. Stakeholder & Vendor Management Work closely with:Business Users Retail Banking Teams Corporate Banking Teams Operations Teams IT Teams Product Owners Project Managers Implementation Partners Vendors Facilitate workshops and business discussions. Coordinate with vendors and implementation partners. Provide regular updates on requirements, testing, migration, risks, and business readiness. Governance & Documentation Maintain project and business-analysis documentation. Ensure requirements and changes are properly governed. Support project governance and implementation reviews. Maintain traceability between business requirements, configuration, testing, and sign-off. Support audit and compliance requirements where applicable. Required Experience11+ years of experience in Temenos Core Banking transformation programs. Proven experience as a Business Analyst / SME in T24 transformation projects. Strong hands-on experience with Temenos T24 / Transact. Strong Middle East / GCC banking experience. Extensive Retail Banking and Corporate Banking operations experience. Strong Islamic Banking domain knowledge.5+ years of experience in Islamic AA and TPH implementations. Experience supporting data migration, cleansing, mapping, and reconciliation. Strong experience in SIT, UAT, defect management, and business validation. Client-facing consulting experience. Experience working in multi-vendor implementation environments. Mandatory Skills Temenos T24 / Temenos Transact Core Banking Transformation Retail Banking Corporate Banking Islamic Banking Islamic AATPHBanking Operations Business Analysis BRD / FSDRequirements Gathering Scope Management Business Process Mapping Gap Analysis Target Operating Model (TOM) Business Rules Data Migration Data Cleansing Data Mapping Balance Reconciliation SIT / UATDefect Triage Requirement Validation Change Management SOP Development User Manuals Business Training Vendor Management Stakeholder Management

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job P-1021-Q - Analytics Applications Specialist <strong>Qualifications</strong> <ul><li><p>Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Science or other relevant disciplines<br>including Business, Accounting, Commercial, Marketing, Sciences, Engineering, Project Management, Supply Chain Management, Law, Communication, Technologies, Mathematics, and Statistics</p><br></li></ul> <p>Knowledge and/or Experience*</p><br><p><strong>Knowledge and/or Experience</strong></p><br> <ul><li><p>8 years experience in business related function or discipline, including 4 years in the Oil &amp; Gas Industry.</p><br></li><li><p>Experience with Oil &amp; Gas Companies, EPC contractors, subcontractors, vendors or service companies involved in the oil and gas<br>industry.</p><br></li><li><p>Knowledge in project business related function/discipline such as planning, scheduling, cost control, estimating, claim management, risk management, change management, procurement, pre- and post award contract management, actionable and informative reporting, support services, lessons learned, etc.</p><br></li><li><p>Knowledge in international standards, best practices and methodologies as it relates to business disciplines.</p><br></li><li><p>SME level competence in candidate's specific business discipline.</p><br></li><li><p>Knowledge of relevant business processes/procedures.</p><br></li><li><p>Experience with risk assessment approach in decision making.</p><br></li><li><p>Strong knowledge of relevant software and computer skills, e.g., dashboards, data analytics, SAP, etc. </p><br></li><li><p>Experience supporting large scale integrated operating and executing organizations, such as Operations, Projects, Subsurface, etc.</p><br></li></ul> <p><strong>Technical and Business Skills</strong></p><br> <ul><li><p>8 years' experience as a Power BI Developer/Dashboard Designer or<br>similar role —with a PL-300 certification considered a strong plus,<br>preferably within the Oil &amp; Gas Construction Industry.</p><br></li><li><p>Requires a minimum of 3 years of extensive experience developing custom Microsoft Power Platform solutions—featuring advanced proficiency in Power Apps (Canvas, Model-Driven, and Power Pages), Power Automate for process automation, and a strong technical understanding of solution management, environment governance, and Application Lifecycle Management (ALM)—with a PL-400 certification considered a strong plus.</p><br></li><li><p>A thorough knowledge of Data and Analytics with solid experience in interactive dashboard and reports development.</p><br></li><li><p>Strong IT and coordination skills.</p><br></li><li><p>Enforce data security best practices</p><br></li><li><p>Monitor and optimize database performance</p><br></li><li><p>Strong qualitative, quantitative analytical &amp; problem-solving skills.</p><br></li><li><p>Strong skills in Power BI, MS SQL, SharePoint, Excel, Power Platform including power Apps</p><br></li><li><p>Experience in Oracle's Primavera P6</p><br></li><li><p>Proficiency in:<br>o Power BI development, including report &amp; dashboard creation.<br>o Power Apps development, including Canvas Apps, Model-Driven Apps, and Power Pages.<br>o Power Automate for business process automation and cloud workflow creation.<br>o Data modelling and data visualization concepts.<br>o Data Analysis Expressions (DAX) &amp; Power Query.<br>o Low-code expressions, JSON handling, and custom API connector integration<br>o MS Office (especially Excel).<br>o ETL Tools like SSIS or Similar tools<br>o ASP.NET, SharePoint, HTML, CSS, etc.</p><br></li><li><p>Some experience in the following areas:<br>o Reports Automation using SSRS, Power Bi Report Builder or similar tools.<br>o SAP Analytics Cloud (SAC), SAP BusinessObjects Lumira.<br>o SAP Data Services &amp; WEBI (BusinessObjects Web<br>Intelligence)</p><br></li><li><p>5 years in SQL for data manipulation and extraction</p><br></li><li><p>Excellent written and spoken English.</p><br></li><li><p>Excellent communication and collaboration abilities.</p><br></li><li><p>Good supervisory skills.</p><br></li></ul> <br> <br> </div>

Job Description<br><br>Introduction<br><br>Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants.<br><br>IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.<br><br>IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM’s workplace culture at IOM workplace culture | International Organization for Migration<br><br>Project Context and Scope<br><br>The Context and Scope of the project to provide psychosocial support to Afghan nationals residing in Al-Saliyah Camp through the provision of psychological counseling and specialized mental health services. The project focuses on prompt and effective response to the psychological and mental needs of refugees, including psychological assessments, individual support sessions, referrals to advanced services when necessary, and group activities that promote psychological resilience and social cohesion. This intervention is part of broader humanitarian efforts to improve the quality of life and alleviate the psychological pressures faced by this vulnerable population due to displacement and difficult living conditions.<br><br>Organizational Department / Unit to which the Consultant is contributing<br><br>Assistance Programme/ Mental Health and Psychosocial Support<br><br>Responsibilities<br><br>Tasks to be performed under this contract<br><br> Training and Mentorship Lead basic tailoring skills sessions for students under the guidance of community tailors. Provide hands-on training and mentorship to community tailors, ensuring they are well prepared to train students. Develop and teach advanced tailoring techniques to enhance the skillset of community tailors. Program Coordination and Logistics Organize and oversee the day-to-day logistics of the Tailoring Program, ensuring all materials, tools, and resources are available and maintained. Plan and coordinate the schedule for training sessions, tailoring workshops, and student skill assessments. Ensure the program meets its objectives, timelines, and participant outcomes. Capacity Building Facilitate regular workshops and training to upskill community tailors in new fashion trends, techniques, and entrepreneurship. Encourage a supportive learning environment for community tailors to share experiences, ideas, and challenges. Organizing Community Fashion Show Lead the planning and organization of a community fashion show, showcasing the work of students and community tailors. Collaborate with community stakeholders and participants to manage logistics, venue, and invitations for the event. Work with participants to prepare garments, coordinate runway presentations, and manage all elements related to the show’s success. Monitoring and Reporting Regularly track the progress of the training program and provide updates to the Program Manager. Collect and report on program data, including student participation, skill improvement, and program feedback. <br><br>Performance indicators for the evaluation of results<br><br>Delivered planned sessions with active participation, reaching a significant portion of the community members, with measurable improvement in basic sewing skills. Ensured smooth coordination of activities, timely availability, and completion of sessions according to schedule and objectives. Strengthening skills of community tailors through regular workshops, with increased knowledge sharing and positive participant feedback. Successfully organized key events (e.g., fashion show), tracked progress, and submitted accurate reports showing outcomes and community impact.<br><br>Qualifications<br><br>Required Qualifications and Experience<br><br>Education & Experience<br><br>High school diploma and/or vocational certificate in tailoring, with a minimum of five years of relevant professional experience; or a university degree in tailoring, fashion design, textile studies, or a related field, with a minimum of three years of relevant professional experience. Proven experience in tailoring and garment-making, with expertise in both basic and advanced techniques. Experience in teaching or mentoring, especially in a community setting. Strong organizational and project management skills, with experience in event coordination. Ability to work in a team environment and collaborate with different stakeholders. Strong communication and interpersonal skills. Creativity and passion for fashion design and community development. Prior experience in leading fashion shows or similar events is an asset.<br><br>Languages<br><br>Fluency in English is required. Working knowledge of Pashto and/or Dari is an advantage.<br><br>Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.<br><br>Required Competencies<br><br>IOM’s competency framework can be found at this link . Competencies will be assessed during the selection process.<br><br>Values - all IOM staff members must abide by and demonstrate these five values:<br><br>Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion. Integrity and transparency: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct. Professionalism: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges. Courage: Demonstrates willingness to take a stand on issues of importance. Empathy: Shows compassion for others, makes people feel safe, respected and fairly treated.<br><br>Core Competencies – behavioural indicators<br><br>Teamwork: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results. Delivering results: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes. Managing and sharing knowledge: Continuously seeks to learn, share knowledge and innovate. Accountability: Takes ownership for achieving the Organization’s priorities and assumes responsibility for own actions and delegated work. Communication: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.<br><br>Notes<br><br>IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy. IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses. Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.<br><br>Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.<br><br>Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, security clearances.<br><br>IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.<br><br>IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.<br><br>IOM only accepts duly completed applications submitted through the IOM e-Recruitment system (for internal candidates link here ). The online tool also allows candidates to track the status of their application.<br><br>No late applications will be accepted. Only shortlisted candidates will be contacted.<br><br>For further information and other job postings, you are welcome to visit our website: IOM Careers and Job Vacancies

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary <br> <p>The Associate, Data Science plays a foundational role in supporting data science initiatives across the bank. The role involves working under the guidance of senior team members to build and deploy machine learning models, conduct exploratory data analysis, and generate data-driven insights to solve business problems. The associate collaborates with business units to understand requirements, supports model development, and contributes to building scalable data science assets that align with QNB’s strategic goals.</p><br> <br> <br><br> Main Responsibilities <br> <p>A. Shareholder &amp; Financial: - Support the development and tracking of KPIs to measure impact of data science initiatives. - Assist in delivering data analytics solutions that drive business efficiency and revenue growth. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. </p><br><p>B. Customer (Internal &amp; External): - Work with internal stakeholders to understand business needs and translate them into data problems. - Assist in preparing clear, concise, and insightful reports or dashboards for business users. - Support model testing and deployment activities, ensuring stakeholder alignment and timely delivery. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. </p><br><p>C. Internal (Processes, Products, Regulatory): - Support the AVP and other senior data scientists in developing machine learning and statistical models. - Prepare and clean large datasets for analysis and modelling purposes. - Contribute to the implementation of AI/ML pipelines and production-ready solutions. - Document methodologies, outcomes, and learnings for reproducibility and scaling. - Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. </p><br><p>D. Learning &amp; Knowledge: - Stay updated on the latest trends in machine learning, AI, and analytics tools. - Participate in training programs and learning sessions to build advanced analytics capability. - Proactively seek feedback and mentorship from senior team members. - Seek out opportunities to stay current with advancements in data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.</p><br> <br> <br><br> Education and Experience Requirements <br> <p>- Bachler Degree University in data science, Computer Science, Mathematics, Engineering, or a related field. </p><br><p>- Familiarity with machine learning techniques, data wrangling, and model evaluation practices. </p><br><p>- High Level knowledge in data science tools like Python, R and Jupiter notebooks is desirable.</p><br> <br> <br> </div>

<p>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst &amp; Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one shipping products, talking directly to the customers who use them, and iterating fast. Scale s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Example Projects: Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Build a customer service RAG application that handles thousands of questions a day Integrate a cutting-edge ML model that predicts churn into a customer's retention system</p><p><strong>Desired Candidate Profile</strong></p><ul><li>A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)</li><li>Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating</li><li>Previous Product/Software Engineering internship experience</li><li>Track record of shipping high-quality products and features at scale</li><li>Experience building systems that process large volumes of data</li><li>Experience with Python, Typescript, React, and/or MongoDB</li><li>Hands-on experience with LLMs, evaluations, or agentic systems whether from internships, research, or personal projects</li><li>Open source contributions or a portfolio of shipped side projects</li></ul>

We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode. In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity. Responsibilities Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches Define and implement spec-driven development practices with governance and reusable standards Design KPIs to measure productivity gains, quality improvements and AI adoption maturity Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference Develop operational strategies for agentic systems, including rollout governance, versioning and observability Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines Requirements Bachelor's degree in Computer Science, Software Engineering or related field4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions Proven track record leading AI transformations, strategy design and adoption initiatives Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies Strong proficiency with Python, familiarity with Java and API protocols (REST/g RPC) Experience with agent frameworks and implementing agentic workflows in enterprise software delivery Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures Knowledge of AI observability, testing frameworks, model versioning and prompt governance We offer Private healthcare and life insurance End of service gratuity Annual air travel tickets for expatriates Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced IT Data &amp; AI Specialist to design, develop, and maintain data engineering and AI solutions that support business operations and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and data platforms.</li><li>Collect, clean, and transform structured and unstructured data.</li><li>Build, train, test, and deploy Machine Learning and Generative AI models.</li><li>Develop dashboards, reports, and actionable business insights.</li><li>Integrate AI solutions with enterprise applications.</li><li>Ensure data quality, governance, security, and compliance.</li><li>Monitor and optimize data pipelines and AI model performance.</li><li>Collaborate with business and technical stakeholders to deliver data-driven solutions.</li><li>Document data models, pipelines, and AI implementations.</li></ul><p>Required Skills</p><ul><li>Data Analysis</li><li>Data Engineering</li><li>Generative AI</li><li>Python</li><li>SQL</li><li>Machine Learning</li><li>AWS / Azure / GCP</li><li>Data Pipelines</li><li>Data Warehousing</li><li>ETL</li><li>Data Visualization / BI Tools</li><li>Cloud Computing</li></ul><p>Preferred Skills</p><ul><li>Microsoft Copilot</li><li>Google Gemini Enterprise</li><li>Large Language Models (LLMs)</li><li>Prompt Engineering</li><li>AI Solution Integration</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li><li>36 years of experience in Data Engineering, Data Analytics, AI, or Machine Learning.</li><li>Strong hands-on experience with Python and SQL.</li><li>Experience with Machine Learning frameworks.</li><li>Experience working with AWS, Azure, or GCP cloud platforms.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul><b>Location Preference:</b><ul><li>Candidates willing to relocate to Qatar.</li></ul><p></p></section>

We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode. In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity. Responsibilities Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches Define and implement spec-driven development practices with governance and reusable standards Design KPIs to measure productivity gains, quality improvements and AI adoption maturity Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference Develop operational strategies for agentic systems, including rollout governance, versioning and observability Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines Requirements Bachelor's degree in Computer Science, Software Engineering or related field4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions Proven track record leading AI transformations, strategy design and adoption initiatives Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies Strong proficiency with Python, familiarity with Java and API protocols (REST/g RPC) Experience with agent frameworks and implementing agentic workflows in enterprise software delivery Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures Knowledge of AI observability, testing frameworks, model versioning and prompt governance We offer Private healthcare and life insurance End of service gratuity Annual air travel tickets for expatriates Corporate Programs including Employee Referral Program with rewards Learning and development opportunities including in-house training and coaching, professional certifications, and courses

<p><strong>Role Overview</strong> Position scope, strategic mission, and operating context. Role Mission Drive reliable execution in brand systems and messaging strategy with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication. Business Context You will work with cross-functional squads supporting campaigns and delivery systems across MENA markets. This role contributes to our region-country-city operating model and reinforces commercial accountability. You will partner with strategy, delivery, and analytics leads to improve execution quality and speed. Role Snapshot Department: Creative &amp; Production Employment Type: Contract Work Model: Hybrid Primary Location: Doha (Hybrid) with MENA collaboration</p><p><strong>Core Responsibilities</strong> Expected ownership areas and day-to-day execution scope. Own end-to-end delivery for Brand Strategist initiatives, from planning through execution and optimization. Translate business goals into KPI trees, sprint priorities, and measurable weekly actions. Run structured experiments and document performance learnings for scaling decisions. Collaborate with adjacent teams to align creative, technical, and operational dependencies. Maintain QA discipline, reporting clarity, and leadership-ready status updates.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>7-10 years of experience in brand systems and messaging strategy.</li><li>Hands-on capability with positioning frameworks, message architecture.</li><li>Strong communication and stakeholder management in cross-functional environments.</li><li>Data-informed decision making with comfort in KPI and performance analysis.</li><li>Demonstrated ownership mindset with the ability to execute against deadlines.</li><li>Experience working across multi-country or multi-region delivery environments.</li><li>Track record improving conversion quality, efficiency, or operational reliability.</li><li>Confidence in SOP documentation and process governance.</li></ul>

<p><strong>Objective:</strong></p><p>The position is responsible for assisting in category planning, vendor coordination, and inventory monitoring to help achieve gross margin goals and maintain a healthy sell-through rate of 60Percent or above.</p><p><strong>Key Responsibilities:</strong></p><p>Product Range Support:</p><ul><li>Assist in the development of brand strategy through research and analysis of target customers and market positioning.</li><li>Support category planning activities by analyzing performance, trends, and sales potential.</li><li>Contribute to the seasonal purchase strategy by leveraging reports and historical data shared by the planning/merchandising teams.</li><li>Participate in store grading to align product assortments across diverse store types (e.g., premium vs. value-focused).</li><li>Assist in developing procurement strategies for seasonal sales using historical product performance.</li><li>Support pricing decisions through competitive benchmarking and market intelligence.</li><li>Coordinate with principals and suppliers for procurement under the guidance of the Buyer.</li></ul><p>Order Management:</p><ul><li>Prepare and track procurement orders to ensure timely delivery in line with service level agreements and purchase plans.</li><li>Monitor in-transit inventory to ensure smooth stock movement from supplier to warehouse.</li></ul><p>Vendor Coordination:</p><ul><li>Support the Buyer in maintaining strong supplier relationships to ensure timely, cost-effective, and compliant deliveries.</li><li>Follow up on supplier performance, delivery timelines, and contractual adherence.</li></ul><p>Store & Visual Merchandising:</p><ul><li>Conduct store visits to monitor product displays and gather insights on product performance.</li><li>Visit competitor stores for benchmarking and trend inspiration.</li><li>Track stock levels and weeks of cover, raising alerts when stock adjustments are needed.</li><li>Collaborate with store staff to collect feedback on customer preferences and product performance.</li></ul><p>Market & Competition Awareness:</p><ul><li>Stay updated on fashion trends and evolving customer preferences in local and international markets.</li><li>Track competitor activities, product offerings, and pricing strategies to support informed buying decisions.</li></ul><p><strong>Desired Experience:</strong></p><ul><li>Minimum 2 years of experience in retail or merchandising, preferably within a fashion or lifestyle brand.</li><li>Proficient in MS Excel, PowerPoint, and basic ERP systems.</li><li>Understanding of product strategy, vendor coordination, range planning, and trend analysis.</li><li>Familiarity with market research, sales data interpretation, and forecasting techniques.</li><li>Bachelor’s degree in Fashion, Retail Management, or a related field from a recognized institution.</li></ul>

<p>Role Overview Position scope, strategic mission, and operating context. Role Mission Drive reliable execution in paid search and display analysis with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication. Business Context You will work with cross-functional squads supporting campaigns and delivery systems across MENA markets. This role contributes to our region-country-city operating model and reinforces commercial accountability. You will partner with strategy, delivery, and analytics leads to improve execution quality and speed. Role Snapshot Department: Performance &amp; Growth Employment Type: Contract Work Model: Hybrid Primary Location: Doha (Hybrid) with MENA collaboration Core Responsibilities Expected ownership areas and day-to-day execution scope. Own end-to-end delivery for PPC Analyst initiatives, from planning through execution and optimization. Translate business goals into KPI trees, sprint priorities, and measurable weekly actions. Run structured experiments and document performance learnings for scaling decisions. Collaborate with adjacent teams to align creative, technical, and operational dependencies. Maintain QA discipline, reporting clarity, and leadership-ready status updates.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Requirements and Qualifications</strong> Capabilities required to perform the role at a high level. Required Experience 10+ years of experience in paid search and display analysis. Hands-on capability with Google Ads Editor, GA4, Looker Studio. Strong communication and stakeholder management in cross-functional environments. Data-informed decision making with comfort in KPI and performance analysis. Demonstrated ownership mindset with the ability to execute against deadlines. Preferred Qualifications Experience working across multi-country or multi-region delivery environments. Track record improving conversion quality, efficiency, or operational reliability. Confidence in SOP documentation and process governance.</p>

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:<br><br>Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI<br><br>Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.<br><br>Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.<br><br>The Mission<br><br>Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.<br><br>What You Will Do<br><br>Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.<br><br>Ideally, You Have<br><br>Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.<br><br>Nice to Haves<br><br>Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.<br><br>PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.<br><br>About Us:<br><br>At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.<br><br>We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. <br><br>We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.<br><br>We comply with the United States Department of Labor's Pay Transparency provision. <br><br>PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

In this hourly, remote contractor role, you will work as a Malayalam Language Specialist (SME) to review AI-generated Malayalam content and/or create high-quality Malayalam reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Malayalam writing; and rate and compare multiple AI responses based on correctness and overall quality.<br><br>This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of Super Annotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Malayalam expertise directly helps improve the world’s premier AI models by making their Malayalam language output more natural, reliable, culturally accurate, and clearly written.<br><br>Key Responsibilities<br><br> Develop AI Training Content: Create prompts and gold-standard Malayalam answers across multiple domains (general knowledge, customer support, education, conversational writing). Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness. Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.<br><br>Your Profile<br><br> Bachelor’s degree (or higher) in Linguistics, Malayalam/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience). Native or near-native Malayalam proficiency (reading and writing required). Strong professional proficiency in English (minimum C1) to follow guidelines and provide detailed feedback in English. 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work. Deep understanding of Malayalam grammar, spelling conventions, punctuation, and style—able to explain why something is wrong and how to fix it. Comfortable handling multiple registers (formal/informal), dialect variation across Kerala, and audience adaptation (India vs diaspora). High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, or culturally mismatched phrasing. Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. Prior experience with AI data training/annotation, translation QA, editorial QA, or rubric-based evaluation is strongly preferred.<br><br>Skills: Grammar & Style, Translation Quality Review, localization, Cultural Context, Fact-checking, Tone & Register, English, Malayalam, copyediting, proofreading

Role Purpose<br><br>The Director, Data Management & Security Advisory leads DAI Consultancy's portfolio of client engagements across data strategy, governance, architecture, analytics, security and value creation. The role works with executive sponsors to clarify priorities, assess organisational capability and translate national data-management expectations into achievable transformation programmes. The Director provides senior judgement on engagement scope, delivery quality, risks, dependencies and the integration of business, technology, security and change considerations.<br><br>As a senior consulting leader, the role is accountable for the quality of DAI Consultancy's advice and deliverables, the effectiveness of multidisciplinary teams and the development of trusted client relationships. The Director may facilitate executive decisions and prepare recommendations, but formal approval, ownership and risk acceptance remain with authorised client representatives. The role also supports practice development, proposal shaping, team capability and knowledge transfer so that client organisations can sustain the implemented capabilities after the engagement.<br><br>Key Responsibilities<br><br>Lead DAI Consultancy's data-management and security advisory portfolio, setting a clear service direction and quality standard for client engagements. Advise executive sponsors on data strategy, governance, security, architecture, analytics, operating-model and investment priorities. Oversee current-state, maturity and capability assessments and ensure conclusions are supported by traceable client evidence. Direct the development of target operating models, transformation roadmaps, policy portfolios, business cases and implementation plans. Integrate business, data, technology, privacy, security, regulatory and organisational-change considerations across engagement workstreams. Review major recommendations, architecture positions, risk assessments and executive deliverables before they are presented to clients. Establish engagement governance, quality gates, escalation routes and decision controls appropriate to the scope and risk of the assignment. Facilitate executive workshops and decision sessions while preserving the client's formal ownership, approval and risk-acceptance responsibilities. Monitor delivery performance, commercial health, dependencies and material risks across the portfolio and intervene when recovery action is needed. Build and maintain trusted relationships with client executives, national stakeholders, delivery partners and specialist advisers. Lead proposals, scope definition, staffing decisions and solution design for complex data and digital transformation opportunities. Coach senior managers and consultants, strengthen reusable methods and ensure knowledge is transferred to client teams at handover.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in data management, information systems, computer science, cybersecurity, business or a related field.master's degree preferred. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 12+ years in data, digital, technology or information governance, including 5+ years leading enterprise or public-sector functions. Demonstrated experience leading complex, multidisciplinary data, digital, technology or information-governance engagements. Experience advising executive and public-sector stakeholders on investment priorities, risk, governance and transformation sequencing. A strong record of quality-assuring strategies, operating models, roadmaps, policies, architecture positions and executive reports. Experience managing consulting portfolios, commercial performance, senior client relationships and delivery teams.<br><br>Technical and Domain Knowledge<br><br>Enterprise data strategy, governance and operating-model design. Data architecture, integration, analytics and platform concepts. Information security, privacy, classification, resilience and technology risk. Data quality, metadata, master and reference data, records and content management. Portfolio prioritisation, benefits realisation and transformation roadmapping. Public-sector governance, policy implementation and accountability structures. Executive performance measures, assurance and evidence-based decision support. Strong knowledge of the twelve Qatar Data Knowledge Case (QDKC) domains and their interdependencies.<br><br>Core Competencies<br><br>Enterprise data leadership. Government governance and policy. Risk and security oversight. Portfolio prioritization. Executive communication. Organizational change. Commercial judgement. Quality assurance. Talent development. Client relationship leadership. Executive-level facilitation, negotiation and communication. Structuring ambiguous problems and converting them into practical work programmes. Leading proposals, scoping, estimation and multidisciplinary staffing. Reviewing evidence and challenging unsupported assumptions or recommendations. Managing senior stakeholders, sensitive issues and cross-entity dependencies. Producing concise, decision-ready material for boards, committees and executive sponsors. Developing consultants and transferring capability to client teams.<br><br>Preferred Certifications<br><br>CDMP Practitioner or Master CISM or CISSPPMP or PgMP<br><br>Focus areas<br><br>Enterprise data leadership Government governance and policy Risk and security oversight<br><br>Ready to apply for this role?<br><br>Apply for Director, Data Management & Security Advisory

Role Purpose<br><br>The Data Strategy Consultant helps clients define how data will support organisational priorities, public services, operational performance and evidence-based decisions. The role connects business objectives with a realistic data vision, target capabilities, prioritised initiatives, measurable benefits and an implementation roadmap. It ensures that strategy is grounded in current-state evidence and coordinated with governance, architecture, quality, security, analytics and change requirements.<br><br>The consultant conducts research and interviews, facilitates strategic choices, develops initiative and benefits models, and prepares decision-ready material for client leadership. The role does not set the client's strategy independently; it structures evidence, options and recommendations for authorised stakeholders. Strong candidates can move between executive-level narrative and detailed implementation logic, ensuring that the final strategy is understandable, fundable, sequenced and capable of being monitored after approval.<br><br>Key Responsibilities<br><br>Analyse organisational strategies, service priorities, national direction and existing data initiatives to establish the strategic context. Conduct stakeholder interviews and current-state assessments covering capabilities, pain points, dependencies and opportunities. Facilitate development of a clear data vision, strategic objectives, guiding principles and measurable outcomes. Identify and structure priority use cases that connect data investment to business and public-value outcomes. Develop initiative cards describing scope, benefits, owners, dependencies, resources, risks and success measures. Apply transparent prioritisation criteria and prepare options for client leadership rather than predetermining the decision. Develop sequenced roadmaps, implementation waves, milestones, capability dependencies and investment considerations. Define benefits-realisation measures and governance arrangements for monitoring strategy execution. Coordinate strategy content with target operating model, architecture, quality, security, data culture and analytics workstreams. Prepare executive presentations, strategy documents, decision papers and supporting evidence. Support business-case development, programme mobilisation and handover into implementation governance. Monitor delivery evidence and recommend strategy or roadmap refreshes when priorities, risks or assumptions change.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in strategy, business, information systems, data management or a related field.master's degree preferred. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 6-10 years in strategy, transformation, data management, analytics or management consulting. Experience in strategy, transformation, data management, analytics, business analysis or management consulting. Experience converting organisational objectives into initiatives, roadmaps, measures and implementation choices. Experience preparing executive material and facilitating senior stakeholder workshops. Exposure to benefits realisation, portfolio prioritisation and public-sector transformation is preferred.<br><br>Technical and Domain Knowledge<br><br>Data-strategy formulation and strategic alignment. Current-state assessment and target-capability definition. Use-case development and initiative structuring. Prioritisation methods, roadmaps and dependency mapping. Benefits realisation, indicators and performance measures. Data-governance and operating-model considerations. Architecture, quality, security, analytics and literacy interdependencies. Business-case and investment-planning principles.<br><br>Core Competencies<br><br>Strategy formulation. Business analysis. Portfolio prioritization. Benefits realization. Executive storytelling. Roadmapping. Strategic thinking. Benefits orientation. Synthesis. Executive interviewing and strategic workshop facilitation. Synthesising qualitative and quantitative evidence. Developing persuasive but evidence-based strategic narratives. Building structured options and transparent prioritisation models. Writing executive documents and presenting recommendations. Managing ambiguity, assumptions and changing priorities. Translating strategy into practical implementation commitments.<br><br>Preferred Certifications<br><br>CDMP Practitioner PMPCBAP<br><br>Focus areas<br><br>Strategy formulation Business analysis Portfolio prioritization<br><br>Ready to apply for this role?<br><br>Apply for Data Strategy Consultant

Job Description<br><br>The Program Manager is responsible for planning, executing, and overseeing a large-scale, multi-entity Fin Ops and Software Asset Management (SAM) program across multiple cloud environments. This role ensures alignment across all delivery workstreams, manages program-level dependencies and risks, and delivers the program on time, within scope, and within budget, while embedding Fin Ops Foundation principles, best practices and governance across all participating entities.<br><br>Responsibilities<br><br>Develop comprehensive program plans and timelines, including scope, objectives, deliverables, milestones, resources, and budgets aligned to organizational goals, covering all entities in the program's scope.<br><br>Monitor program performance on an ongoing basis, proactively identifying risks, issues, and scope changes, and driving timely resolution to keep delivery on track.<br><br>Own overall program budget, resource allocation, and financial performance, ensuring the program is delivered within approved cost and resourcing parameters<br><br>Collaborate with stakeholders, including program sponsors, business users, project managers, delivery teams, and external vendors, to ensure program objectives and expectations are met.<br><br>Communicate program status, progress, and risks to all stakeholders, ensuring they are informed and engaged throughout the program lifecycle.<br><br>Ensure compliance with program management best practices, methodologies, and industry standards, including SAFe, PMBOK, Prince2, Agile, and SCRUM.<br><br>Embed Fin Ops Foundation and SAM best practices, capabilities, and maturity model guidance across the program's delivery approach.<br><br>Own the program-level governance structure (steering committees, reporting cadence, escalation paths) and represent the program to senior client and internal stakeholders.<br><br>Qualifications<br><br>Desired Educational Background:<br><br>Bachelor's degree in Business, Engineering, IT, or a related field<br><br>Language Requirement<br><br>English (mandatory); Arabic (preferred)<br><br>Desired Experience<br><br> 8+ years of experience in project or program management Proven experience managing complex, cross-functional, multi-entity programs, preferably for government entities Strong understanding of project/program management methodologies (Agile, Waterfall, Hybrid, SAFe) Experience in cloud cost management, Fin Ops, or cloud governance engagements is desirable Fin Ops Certified Practitioner (mandatory); Fin Ops Certified Professional (preferred) Excellent leadership, communication, and stakeholder management abilities Strong analytical, problem-solving, and decision-making abilities<br><br>Job Specific Skills<br><br> Program Execution & Delivery Cross-Project Coordination Stakeholder & Executive Management Governance & Compliance Risk, Issue & Dependency Control Financial & Resource Control Vendor & Contract Management Change Management & Adoption Tools & Reporting Working knowledge of Fin Ops Foundation Framework (Domains, Capabilities, Maturity Model)<br><br>Technical Competencies<br><br> Program & Project Management Methodologies & Frameworks Financial & Resource Management Risk & Issue Management Data Analytics & Reporting Tools & Systems Organizational Change & Dependency Management Working knowledge of Fin Ops Foundation Framework<br><br>Behavioral Competencies<br><br> Leadership & Influence Strategic Thinking Communication Stakeholder Management Decision-Making Problem-Solving Adaptability & Resilience Accountability & Ownership Collaboration