Model Jobs in Qatar

<p>We are seeking a skilled BIM Modeler Architectural with experience in architectural and interior design projects. The successful candidate will be responsible for creating, developing, and coordinating high-quality BIM models using Autodesk Revit while ensuring compliance with project requirements and BIM standards.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and maintain accurate 3D architectural BIM models using Autodesk Revit.</li><li>Prepare architectural construction drawings, including plans, elevations, sections, details, and schedules.</li><li>Model interior design elements such as furniture, ceilings, wall finishes, millwork, and joinery.</li><li>Coordinate architectural models with structural and MEP disciplines to detect and resolve clashes.</li><li>Update BIM models based on design changes, consultant comments, and client requirements.</li><li>Produce drawing packages and documentation for design, tender, and construction stages.</li><li>Create and manage Revit families, templates, and project standards.</li><li>Perform quality checks to ensure model accuracy and compliance with BIM execution plans.</li><li>Participate in BIM coordination meetings and collaborate with architects, engineers, and project teams.</li><li>Support quantity take-offs and project documentation when required.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree or Diploma in Architecture, Architectural Technology, Interior Design, or a related field.</p><p>Minimum 5 years of experience as an Architectural BIM Modeler.</p><p>Proven experience in interior design modeling using Autodesk Revit.</p><p>Advanced proficiency in Autodesk Revit.</p><p>Good working knowledge of AutoCAD.</p><p>Experience with Navisworks for model coordination and clash detection is an advantage.</p><p>Familiarity with BIM standards, LOD requirements, and BIM Execution Plans (BEP).</p><p>Strong understanding of architectural construction drawings and detailing.</p><p>Ability to work independently and collaboratively in a multidisciplinary environment.</p><p>Excellent communication, coordination, and problem-solving skills.</p><p>Ability to manage multiple tasks and meet project deadlines.</p>

Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What This Is NOT<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What We Look For<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard <br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation<br><br>Up to $50/hr equivalent, depending on level and pace. Tasks are estimated at :20 hours each; you set your own schedule.

About QNB<br><br>Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.<br><br>QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.<br><br>QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.<br><br>Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>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.<br><br>Main Responsibilities<br><br> Shareholder & 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 & 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. Customer (Internal & 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. 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. Learning & 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.<br><br>Education And Experience Requirements<br><br> Bachler Degree University in data science, Computer Science, Mathematics, Engineering, or a related field. Familiarity with machine learning techniques, data wrangling, and model evaluation practices. High Level knowledge in data science tools like Python, R and Jupiter notebooks is desirable.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

The Senior Auditor – Treasury & Investments leads and delivers independent, risk‑based assurance across the Bank’s treasury, investment portfolios, ALM, liquidity and market‑risk functions, and wealth management activities. The role will assess the control design and operating effectiveness, validates remediation, supports ICoFR testing, and conducts special investigations into trading, valuation and operational exceptions. The Senior Auditor is expected to translate findings into clear, evidence‑based recommendations for senior management and the BACRC, and partners with first‑ and second‑line stakeholders to ensure timely, pragmatic remediation and sustained regulatory compliance with IIA, Basel and local supervisory expectations.<br>Key Accountabilities:<br>Plan and lead risk‑based audit engagements:Define scope and objectives for each engagement aligned to the annual audit plan and emerging risk universe. Develop detailed audit programs with risk‑ranked control objectives, test steps, sampling approaches, and data requirements. Coordinate resources and timelines to deliver audits on schedule and within budget; escalate scope or resourcing issues promptly.<br>Execute end‑to‑end audit fieldwork:Perform testing on control design and operating effectiveness across front office, middle office and operations using walkthroughs, inquiry, inspection, re‑performance and data analytics. Validate trade lifecycle controls including trade capture, confirmations, settlements, reconciliations, corporate actions, capital calls, and exception handling. Test valuation and pricing controls for securities, derivatives and alternative investments including model governance, inputs, independent price verification and valuation adjustments. Assess collateral, margin and counterparty exposure processes for repo, securities lending, derivatives and OTC transactions, review margin calls, collateral substitution and haircuts. Evaluate treasury operations such as cash management, payment processing, FX settlements, and intraday liquidity controls.<br>Investment Management Review portfolio governance including mandate compliance, investment limits, country limits, counterparty limits, mandate changes, and performance attribution. Assess product governance and suitability for advisory and discretionary mandates, test KYC, risk profiling, suitability assessments and fee disclosures. Audit alternative investments processes for due diligence, valuation, liquidity terms and reporting to clients and regulators.<br>Risk framework and model assurance:Test ALM and liquidity risk controls including gap analysis, cashflow modelling, contingency funding plans and intraday liquidity monitoring. Assess market and profit rate risk measurement, limit setting, back testing, stress testing and hedging effectiveness. Review model risk management practices for pricing, risk and capital models including model approval, validation, change control and independent challenge.<br>Regulatory, accounting and compliance assurance:Validate regulatory reporting controls related to liquidity coverage ratio, net stable funding ratio, capital adequacy and large exposures. Assess compliance with applicable regulations and standards and confirm controls for sanctions screening, AML, and conduct requirements. Monitor regulatory change and update audit scope to address new rules, products or risk drivers. Support ICoFR testing for treasury and investment processes, documenting key controls, testing design and operating effectiveness. Assist in the issue remediation framework by working with first- and second-line owners to agree corrective actions, timelines and evidence of closure as part of issue follow‑up.<br>Reporting and stakeholder engagement:Prepare concise, evidence‑based audit reports with clear risk ratings, root causes, business impact and remediation recommendations. Build strong relationships with first- and second-line stakeholders to facilitate timely information access and constructive remediation dialogue.<br>People development and culture:Coach and mentor junior auditors on technical skills, audit methodology and professional conduct. Promote a culture of continuous improvement by sharing lessons learned, developing training materials and leading knowledge sessions.<br>Qualifications & Experience:Bachelor’s or master’s degree in finance, Accounting, Economics, Business, or related discipline. Professional certification such as CIA, CPA, ACCA, ACA, CFA, FRM, CTF would be preferred. Minimum 6 years of internal audit experience within banking, financial services or Big 4, with demonstrable hands‑on exposure to treasury, investments, ALM, liquidity and market‑risk audits. Proven track record of leading end‑to‑end, risk‑based audit engagements and delivering high‑quality audit reports and remediation validation. In depth knowledge of fixed income, equities, FX, repos, securities lending, derivatives (OTC and exchange‑traded), structured products, and alternative investments (private equity, private credit, infrastructure, real estate).

The Senior Auditor – Treasury & Investments leads and delivers independent, risk‑based assurance across the Bank’s treasury, investment portfolios, ALM, liquidity and market‑risk functions, and wealth management activities. The role will assess the control design and operating effectiveness, validates remediation, supports ICoFR testing, and conducts special investigations into trading, valuation and operational exceptions. The Senior Auditor is expected to translate findings into clear, evidence‑based recommendations for senior management and the BACRC, and partners with first‑ and second‑line stakeholders to ensure timely, pragmatic remediation and sustained regulatory compliance with IIA, Basel and local supervisory expectations.<br>Key Accountabilities:<br>Plan and lead risk‑based audit engagements:Define scope and objectives for each engagement aligned to the annual audit plan and emerging risk universe. Develop detailed audit programs with risk‑ranked control objectives, test steps, sampling approaches, and data requirements. Coordinate resources and timelines to deliver audits on schedule and within budget; escalate scope or resourcing issues promptly.<br>Execute end‑to‑end audit fieldwork:Perform testing on control design and operating effectiveness across front office, middle office and operations using walkthroughs, inquiry, inspection, re‑performance and data analytics. Validate trade lifecycle controls including trade capture, confirmations, settlements, reconciliations, corporate actions, capital calls, and exception handling. Test valuation and pricing controls for securities, derivatives and alternative investments including model governance, inputs, independent price verification and valuation adjustments. Assess collateral, margin and counterparty exposure processes for repo, securities lending, derivatives and OTC transactions, review margin calls, collateral substitution and haircuts. Evaluate treasury operations such as cash management, payment processing, FX settlements, and intraday liquidity controls.<br>Investment Management Review portfolio governance including mandate compliance, investment limits, country limits, counterparty limits, mandate changes, and performance attribution. Assess product governance and suitability for advisory and discretionary mandates, test KYC, risk profiling, suitability assessments and fee disclosures. Audit alternative investments processes for due diligence, valuation, liquidity terms and reporting to clients and regulators.<br>Risk framework and model assurance:Test ALM and liquidity risk controls including gap analysis, cashflow modelling, contingency funding plans and intraday liquidity monitoring. Assess market and profit rate risk measurement, limit setting, back testing, stress testing and hedging effectiveness. Review model risk management practices for pricing, risk and capital models including model approval, validation, change control and independent challenge.<br>Regulatory, accounting and compliance assurance:Validate regulatory reporting controls related to liquidity coverage ratio, net stable funding ratio, capital adequacy and large exposures. Assess compliance with applicable regulations and standards and confirm controls for sanctions screening, AML, and conduct requirements. Monitor regulatory change and update audit scope to address new rules, products or risk drivers. Support ICoFR testing for treasury and investment processes, documenting key controls, testing design and operating effectiveness. Assist in the issue remediation framework by working with first- and second-line owners to agree corrective actions, timelines and evidence of closure as part of issue follow‑up.<br>Reporting and stakeholder engagement:Prepare concise, evidence‑based audit reports with clear risk ratings, root causes, business impact and remediation recommendations. Build strong relationships with first- and second-line stakeholders to facilitate timely information access and constructive remediation dialogue.<br>People development and culture:Coach and mentor junior auditors on technical skills, audit methodology and professional conduct. Promote a culture of continuous improvement by sharing lessons learned, developing training materials and leading knowledge sessions.<br>Qualifications & Experience:Bachelor’s or master’s degree in finance, Accounting, Economics, Business, or related discipline. Professional certification such as CIA, CPA, ACCA, ACA, CFA, FRM, CTF would be preferred. Minimum 6 years of internal audit experience within banking, financial services or Big 4, with demonstrable hands‑on exposure to treasury, investments, ALM, liquidity and market‑risk audits. Proven track record of leading end‑to‑end, risk‑based audit engagements and delivering high‑quality audit reports and remediation validation. In depth knowledge of fixed income, equities, FX, repos, securities lending, derivatives (OTC and exchange‑traded), structured products, and alternative investments (private equity, private credit, infrastructure, real estate).

The Senior Auditor – Treasury & Investments leads and delivers independent, risk‑based assurance across the Bank’s treasury, investment portfolios, ALM, liquidity and market‑risk functions, and wealth management activities. The role will assess the control design and operating effectiveness, validates remediation, supports ICoFR testing, and conducts special investigations into trading, valuation and operational exceptions. The Senior Auditor is expected to translate findings into clear, evidence‑based recommendations for senior management and the BACRC, and partners with first‑ and second‑line stakeholders to ensure timely, pragmatic remediation and sustained regulatory compliance with IIA, Basel and local supervisory expectations.<br>Key Accountabilities:<br>Plan and lead risk‑based audit engagements:Define scope and objectives for each engagement aligned to the annual audit plan and emerging risk universe. Develop detailed audit programs with risk‑ranked control objectives, test steps, sampling approaches, and data requirements. Coordinate resources and timelines to deliver audits on schedule and within budget; escalate scope or resourcing issues promptly.<br>Execute end‑to‑end audit fieldwork:Perform testing on control design and operating effectiveness across front office, middle office and operations using walkthroughs, inquiry, inspection, re‑performance and data analytics. Validate trade lifecycle controls including trade capture, confirmations, settlements, reconciliations, corporate actions, capital calls, and exception handling. Test valuation and pricing controls for securities, derivatives and alternative investments including model governance, inputs, independent price verification and valuation adjustments. Assess collateral, margin and counterparty exposure processes for repo, securities lending, derivatives and OTC transactions, review margin calls, collateral substitution and haircuts. Evaluate treasury operations such as cash management, payment processing, FX settlements, and intraday liquidity controls.<br>Investment Management Review portfolio governance including mandate compliance, investment limits, country limits, counterparty limits, mandate changes, and performance attribution. Assess product governance and suitability for advisory and discretionary mandates, test KYC, risk profiling, suitability assessments and fee disclosures. Audit alternative investments processes for due diligence, valuation, liquidity terms and reporting to clients and regulators.<br>Risk framework and model assurance:Test ALM and liquidity risk controls including gap analysis, cashflow modelling, contingency funding plans and intraday liquidity monitoring. Assess market and profit rate risk measurement, limit setting, back testing, stress testing and hedging effectiveness. Review model risk management practices for pricing, risk and capital models including model approval, validation, change control and independent challenge.<br>Regulatory, accounting and compliance assurance:Validate regulatory reporting controls related to liquidity coverage ratio, net stable funding ratio, capital adequacy and large exposures. Assess compliance with applicable regulations and standards and confirm controls for sanctions screening, AML, and conduct requirements. Monitor regulatory change and update audit scope to address new rules, products or risk drivers. Support ICoFR testing for treasury and investment processes, documenting key controls, testing design and operating effectiveness. Assist in the issue remediation framework by working with first- and second-line owners to agree corrective actions, timelines and evidence of closure as part of issue follow‑up.<br>Reporting and stakeholder engagement:Prepare concise, evidence‑based audit reports with clear risk ratings, root causes, business impact and remediation recommendations. Build strong relationships with first- and second-line stakeholders to facilitate timely information access and constructive remediation dialogue.<br>People development and culture:Coach and mentor junior auditors on technical skills, audit methodology and professional conduct. Promote a culture of continuous improvement by sharing lessons learned, developing training materials and leading knowledge sessions.<br>Qualifications & Experience:Bachelor’s or master’s degree in finance, Accounting, Economics, Business, or related discipline. Professional certification such as CIA, CPA, ACCA, ACA, CFA, FRM, CTF would be preferred. Minimum 6 years of internal audit experience within banking, financial services or Big 4, with demonstrable hands‑on exposure to treasury, investments, ALM, liquidity and market‑risk audits. Proven track record of leading end‑to‑end, risk‑based audit engagements and delivering high‑quality audit reports and remediation validation. In depth knowledge of fixed income, equities, FX, repos, securities lending, derivatives (OTC and exchange‑traded), structured products, and alternative investments (private equity, private credit, infrastructure, real estate).

Role Purpose Lead the development and expansion of the bank’s FX and Commodity Hedging business across Qatar, Turkey, and Egypt, driving growth in risk management revenues and client adoption of hedging solutions. The role is responsible for establishing a comprehensive hedging proposition across multiple client segments, platforms, and product capabilities, enabling corporates to effectively manage foreign exchange and commodity price risks. The incumbent will support the rollout and commercialization of a broad suite of hedging solutions ranging from basic hedging products to advanced structured solutions, while strengthening product capabilities, platform integration, and market penetration. Experience12+ years of banking experience. Strong background in Corporate Banking, Institutional Banking, Coverage, Transaction Banking, Markets, or Sales Management. Proven experience designing or leading sales coverage, client management, or operating model transformation initiatives. Experience working across multiple product groups and stakeholder environments. Exposure to large-scale banking transformation programs preferred.<br>Strong understanding of Coverage, RM, and Product operating models. Deep knowledge of GTB, GSF, GM, GAM, and FAM business lines. Strong commercial mindset with focus on revenue growth and client penetration. Experience in organizational design, governance, and operating model transformation. Strong stakeholder management and influencing capabilities. Ability to engage senior executives and drive alignment across diverse business units. Strong analytical, strategic thinking, and change management skills. Based in Qatar, bilingual

Role Purpose<br><br>The Senior Manager, Data Management & Governance leads client engagements that establish or strengthen practical data-management and governance capabilities. The role translates strategy and QDKC-aligned requirements into operating models, decision rights, policies, ownership and stewardship arrangements, committee practices, implementation roadmaps and performance measures that can function within the client's existing organisation.<br><br>The Senior Manager combines governance expertise with hands-on consulting delivery. This includes directing evidence collection, facilitating stakeholder agreement, managing multidisciplinary teams and ensuring that recommendations are implementable rather than theoretical. The role prepares decision material and supports governance activation, but does not assume the client's accountable roles or approval authority. Success is measured by the clarity of the operating model, the usability of the resulting artefacts, the quality of implementation support and the client's ability to sustain governance routines after handover.<br><br>Key Responsibilities<br><br>Lead governance and data-management workstreams from discovery and assessment through design, activation and handover. Assess current governance maturity, decision rights, policies, data accountabilities, controls, issues and delivery capacity using client evidence. Design target operating models covering ownership, stewardship, committees, working groups, escalation routes and delivery interfaces. Develop and quality-review governance policies, standards, charters, RACI matrices, decision records and implementation procedures. Facilitate agreement among business, technology, security, compliance and data stakeholders on responsibilities and operating rhythms. Translate strategic priorities into sequenced initiatives, roadmaps, dependencies, measures and resourcing recommendations. Coordinate governance links with cataloguing, data quality, master data, sharing, records, security, analytics and literacy workstreams. Prepare committee packs, options, recommendations and evidence summaries for decision by authorised client bodies. Establish practical registers and reporting mechanisms for issues, exceptions, decisions, actions, benefits and governance performance. Direct consultants, review deliverables, manage quality gates and maintain alignment between scope, evidence and recommendations. Support adoption through stakeholder engagement, training, communications and role-specific knowledge transfer. Track implementation progress and recommend corrective action without replacing the client's accountable owners or approvers.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in data management, information systems, business, public administration 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 10+ years in data governance or data management, including 4+ years managing multidisciplinary teams. Demonstrated experience designing and activating enterprise or public-sector data-governance operating models. Experience leading multidisciplinary teams and managing senior client stakeholders through policy and accountability decisions. Experience producing governance frameworks, policies, charters, RACI matrices, roadmaps and performance reports. Exposure to implementation, change management and capability transfer, not only governance assessment or documentation.<br><br>Technical and Domain Knowledge<br><br>Data-governance frameworks, operating models and decision rights. Data-management strategy, maturity assessment and implementation planning. Policy lifecycle, standards, controls, exceptions and compliance monitoring. Data ownership, stewardship and cross-functional accountability design. Metadata, data quality, master data, sharing and content-governance interfaces. Governance performance indicators, issue registers and decision records. Committee and working-group design, agendas, charters and escalation mechanisms. Public-sector stakeholder structures and national data-management expectations.<br><br>Core Competencies<br><br>Data-governance operating models. Policy and standards. Stakeholder facilitation. RACI and accountability design. Performance management. Public-sector delivery. Operating-model design. Conflict resolution. Implementation focus. Coaching. Facilitating sensitive ownership, mandate and decision-right discussions. Leading discovery interviews and converting evidence into defensible findings. Writing clear policies, operating procedures and executive recommendations. Managing workplans, quality reviews, dependencies and multidisciplinary teams. Explaining governance requirements in practical business language. Supporting adoption, training and knowledge transfer across departments. Maintaining professional challenge while respecting client decision authority.<br><br>Preferred Certifications<br><br>CDMP Practitioner or Master PMPProsci Change Practitioner<br><br>Focus areas<br><br>Data-governance operating models Policy and standards Stakeholder facilitation<br><br>Ready to apply for this role?<br><br>Apply for Senior Manager, Data Management & Governance

Company Description Textiles Louis vuittons is a fashion-focused textiles organization dedicated to high-quality garment creation and customization. The company specializes in detailed craftsmanship, with an emphasis on precise tailoring and fit for a diverse range of clients. Team members collaborate to deliver garments that balance comfort, durability, and style. The environment encourages attention to detail, consistent quality, and professional customer interactions. Joining the team offers an opportunity to contribute to a brand that values both technical skill and creative expression in garment construction.<br>Role Description This is a full-time remote role for a Tailor at Textiles Louis vuittons. The Tailor will be responsible for constructing, altering, and finishing garments according to client specifications and brand standards. Day-to-day tasks include taking measurements, conducting fittings via remote consultation, advising clients on adjustments, and executing precise tailoring and dressmaking work. The role involves collaborating with customer service and design teams to ensure clear communication of requirements, timelines, and quality expectations. The Tailor will also maintain accurate records of orders, manage digital communication with clients, and uphold consistent craftsmanship across all assigned garments.<br>Qualifications<br> <br>Strong tailoring and dressmaking skills, with experience in garment construction, alterations, and finishing. Proficiency in fitting techniques, including taking accurate measurements and translating them into precise adjustments. Effective communication and customer service skills to support remote consultations and maintain professional client relationships. Attention to detail, manual dexterity, and ability to work with various fabrics and garment types. Reliable access to appropriate tailoring equipment and a suitable workspace for remote production. Ability to manage time, prioritize multiple orders, and meet deadlines independently. Prior experience in fashion, textiles, or a related field is beneficial. Relevant vocational training or certification in tailoring, fashion design, or garment technology is an advantage.

Role: Government Innovation Expert Experience: 12–15+ years Location: Qatar / GCC preferred<br>Job Summary:Lead government innovation, institutional transformation, digital transformation, and government service improvement initiatives. The role focuses on developing operating models, re-engineering business processes, conducting transformation studies, improving citizen/user experience, driving innovation workshops, and measuring organizational performance.<br>Main Skills to Focus OnGovernment Innovation & Institutional Transformation Strategic Planning & Transformation Government Service Improvement Digital Transformation Business Process Re-engineering (BPR) Operating Model Design Process Improvement & Operational Excellence Innovation Strategy & Management Design Thinking & Service Design Gap Analysis & Transformation Studies Performance Management & KPI Development Stakeholder & Government Entity Management Innovation Workshops & Facilitation Executive Reporting & Presentations Change Management Knowledge Transfer & Innovation Culture Best Practices / Benchmarking Institutional Governance Preferred Certifications Innovation Management Design Thinking Lean Six Sigma PMP / Agile Digital Transformation / Change Management MBA / Master's in Innovation or Strategic Management

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Hiring: Microsoft Power Platform Developer</b></p><p>We are looking for a <b>Microsoft Power Platform Developer</b> for a short-term Government project.</p><p><b>Experience:</b> 1–2+ years</p><p><b>Contract Duration:</b> 1–2 months (extendable based on project requirements)</p><p><b>The ideal candidate should have hands-on experience in:</b></p><ul><li>Developing business applications using <b>Power Apps (Canvas &amp; Model-Driven Apps)</b></li><li>Building and customizing portals using <b>Power Pages</b></li><li>Managing data, relationships and security using <b>Dataverse</b></li><li>Creating automated workflows and business processes using <b>Power Automate</b></li><li>Customizing applications using <b>Power Fx, HTML, CSS and JavaScript</b></li><li>Integrating applications with external systems through <b>REST APIs</b></li><li>Managing application deployment, environments and solutions using <b>ALM and Azure DevOps/Git</b></li></ul><p><b>PL-400 certification will be an added advantage.</b></p><p>Interested candidates matching the requirements may share their updated CV.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Hiring: Microsoft Power Platform Developer</b></p><p>We are looking for a <b>Microsoft Power Platform Developer</b> for a short-term Government project.</p><p><b>Experience:</b> 1–2+ years</p><p><b>Contract Duration:</b> 1–2 months (extendable based on project requirements)</p><p><b>The ideal candidate should have hands-on experience in:</b></p><ul><li>Developing business applications using <b>Power Apps (Canvas &amp; Model-Driven Apps)</b></li><li>Building and customizing portals using <b>Power Pages</b></li><li>Managing data, relationships and security using <b>Dataverse</b></li><li>Creating automated workflows and business processes using <b>Power Automate</b></li><li>Customizing applications using <b>Power Fx, HTML, CSS and JavaScript</b></li><li>Integrating applications with external systems through <b>REST APIs</b></li><li>Managing application deployment, environments and solutions using <b>ALM and Azure DevOps/Git</b></li></ul><p><b>PL-400 certification will be an added advantage.</b></p><p>Interested candidates matching the requirements may share their updated CV.</p></div>

About Us:<br>Qatar Insurance Company Q. S. P. C (QIC, QIC Group) is a publicly listed insurer with a consistent performance history of over 59 years and a global underwriting footprint. Founded in 1964, QIC was the first domestic insurance company in the State of Qatar. Today, QIC is the market leader in Qatar and a dominant insurer in the GCC and MENA regions. QIC is one of the largest insurance companies in the MENA region in terms of written premium and total assets and is listed on the Qatar Stock Exchange and has a market capitalization in excess of QAR 7 billion. QIC is also the first digital insurance company in Qatar and was crowned as the best online insurance company in the Middle East at the Global Banking & Finance Review Awards 2022.<br><br>Position Overview:<br>We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.<br>Develop and deploy data-driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.<br>Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrappingtechnologies to extract, analyze, and model unstructured data.<br>Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalableand efficient data pipelines and environments.<br>Leverage analytics: Mathematics and Statistics, modelling and modern machine learningtechniques, Optimization.<br>Understand complex databases and perform data management, cleaning, transformation andvisualization.<br>Build intuitive user interfaces using tools such as Shiny or Dash, enabling non-technical users toeasily interact with predictive models and analytics dashboards.<br>Create and maintain predictive analytics models, dashboards, automation program and other datadriven tools for technical teams and business stakeholders.<br>Stay up to date with the latest developments in data science, cloud computing, and AI tocontinuously improve data products.<br>Knowledge of actuarial concepts is a plus.<br>Qualifications and Experience:<br>• Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.<br>• Minimum 3-5 years of relevant experience (experience level depending on the profile)

Role Purpose<br><br>The Data Architecture Consultant develops client data-architecture recommendations, models, standards and transition designs that connect business needs with secure and implementable technology. The role documents how data is created, organised, integrated, stored, shared and used, and helps clients move from current-state fragmentation to a coherent target architecture.<br><br>The consultant works with business experts, governance teams, security specialists, engineers and platform owners to ensure that architecture decisions reflect definitions, quality, ownership, interoperability, privacy, resilience and operational constraints. The role prepares design options and recommendations for client approval and supports implementation teams with traceable specifications. It does not exercise the client's formal architecture authority. Strong candidates combine modelling depth with the ability to explain trade-offs, dependencies and transition steps to non-technical stakeholders.<br><br>Key Responsibilities<br><br>Assess current data sources, stores, flows, interfaces, platforms, models, standards and architecture constraints. Develop architecture principles and current-state, target-state and transition-state views. Create or review conceptual, logical and physical data models aligned with business definitions and metadata. Define data domains, subject areas, relationships, ownership boundaries and authoritative sources. Develop integration, interoperability, API, exchange and pipeline design recommendations. Incorporate data quality, master-data, metadata, lineage, security, privacy, retention and resilience requirements into designs. Document architecture decisions, options, trade-offs, assumptions, risks and dependencies. Facilitate architecture and modelling workshops with business and technical stakeholders. Review solution and vendor designs against approved principles, requirements and target architecture. Support technical specifications, implementation sequencing and transition-roadmap development. Validate delivered designs and implementation evidence and identify deviations requiring client decision. Provide model walkthroughs, documentation and knowledge transfer to client architecture and delivery teams.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in computer science, data engineering, information systems or a related field. 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 data architecture, data modeling, solution architecture or data engineering. Experience in enterprise architecture, data architecture, information architecture or data modelling. Experience developing current-state and target-state designs and supporting implementation roadmaps. Experience working with integration, data platforms, metadata, quality and security requirements. Experience presenting architecture options to business and technology stakeholders.<br><br>Technical and Domain Knowledge<br><br>Data-architecture principles, viewpoints and governance. Conceptual, logical and physical data modelling. Data domains, authoritative sources and ownership boundaries. Integration, APIs, data exchange, pipelines and interoperability. Metadata, lineage, cataloguing and model traceability. Data quality and master/reference-data architecture. Security, privacy, classification, retention and resilience by design. Cloud, on-premises and hybrid platform patterns.<br><br>Core Competencies<br><br>Data modeling. Architecture methods. Integration and APIs. Database and platform design. Security-by-design. Stakeholder communication. Conceptual thinking. Modelling precision. Systems analysis. Design communication. Running architecture discovery and modelling workshops. Translating business requirements into traceable technical designs. Explaining technical trade-offs to non-technical stakeholders. Producing clear diagrams, specifications and decision records. Reviewing solution evidence and challenging unsupported design assumptions. Working effectively with vendors and multidisciplinary teams. Supporting formal client architecture decisions without assuming approval authority.<br><br>Preferred Certifications<br><br>TOGAF Enterprise Architecture Practitioner CDMP Practitioner with Data Modeling and Design specialty<br><br>Focus areas<br><br>Data modeling Architecture methods Integration and APIs<br><br>Ready to apply for this role?<br><br>Apply for Data Architecture Consultant

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job BUSINESS DATA ANALYST - SERVICENOW - INVESTMENT (BANKING) <p>Role Summary</p><br> <p>The Business Data Analyst analyses, documents, and governs conceptual data models and Information Objects across enterprise systems, maintaining the enterprise semantic standard within ServiceNow EA.</p><br> <p>Key Responsibilities</p><br> <ul> <li>Analyse conceptual data models across enterprise systems.</li> <li>Document and manage Information Objects within ServiceNow EA.</li> <li>Maintain the Information Object glossary and conceptual data model.</li> <li>Ensure consistent use of Information Objects across governance, architecture, and solution design.</li> <li>Collaborate with architects, business analysts, and data governance teams to align enterprise semantic standards.</li> </ul> <p>Required Experience &amp; Skills</p><br> <ul> <li>Minimum 3 years' experience in business analysis, enterprise architecture support, or data management.</li> </ul> <p>Preferred / Advantageous</p><br> <ul> <li>Hands-on ServiceNow EA experience (strongly preferred).</li> <li>Investment management or financial services exposure.</li></ul> <p>Vertical:</p><br> <p>Technology</p><br> <br> <br> </div>

About Us:Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!<br>About the Role:This role is responsible for strengthening the AI practice by working closely with the relevant stakeholders (B2B/C, Technology, Finance etc.) on impactful AI/ML and Gen AI use cases to contribute to business strategy, digital growth and an evolving data & AI roadmap. The role will focus on translating customer and commercial needs into scalable ML/Gen AI/Data Science models and decisioning capabilities across business domains including customer value management (CVM), marketing, digital sales and customer care.<br>Functional Context:Ooredoo places strong emphasis on a data-driven culture. In an ever-changing business landscape, there is increasing organizational focus on using AI/ML in day-to-day practice to create value, efficiency, and diversification.<br>The AI Hub division is responsible for putting in place and executing the data & AI roadmap, business plan, and strategy. Ooredoo is building cloud platform-based solutions involving GCP that hosts the data platform and supports analytics and ML workloads, while Azure hosts Gen AI and agentic AI workloads.<br>Role Accountabilities:• Understand business requirements for Telecom business (B2C/B2B) and develop AI/ML based data science models to do value addition.• Own end-to-end AI/ML model lifecycle: problem framing, data discovery, feature engineering, training, validation, deployment, monitoring, and continuous improvement (self-learning where applicable).• Deliver Customer Value Management (CVM) use cases such as churn prediction and prevention, customer lifetime value (CLV), propensity models for upsell/cross-sell, and Next Best Offer / Next Best Action frameworks.• Enable hyper-personalization and real-time decisioning by designing decision logic, recommendation models and event-driven scoring to support always-on campaigns and contextual offers.• Support AI-enabled marketing and digital sales optimization, including audience segmentation, campaign optimization, attribution/uplift measurement, personalized messaging, and digital funnel conversion analytics.• Develop call-center efficiency use cases including call volume forecasting, workforce optimization inputs, routing/prioritization analytics, and AI-assisted service journeys.• Design and implement conversational AI and Gen AI solutions (e.g., virtual assistants, agent-assist, summarization, knowledge retrieval) to improve customer experience and operational efficiency while adhering to governance controls.• Command on PL/SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction in leading database platforms e.g., Teradata, Oracle etc.• Build insights through statistical measures/algorithms/graphs/info graphics and communicate results in a business friendly format for stakeholders and leadership.• Evaluate models and establish robust tracking mechanisms for adoption and realized business outcomes; proactively follow up on lead utilization with use case owners.• Ensure Responsible AI practices: model governance, documentation, privacy-by-design, bias/robustness testing, explainability where required, and secure handling of customer data.• Manage and continuously improve the Data Science Operational Framework, including standards for reusable code, model registries, versioning, and release management in collaboration with Technology teams.• Work as part of a shared function across organization on use cases to support product growth, cost optimization, customer engagement and customer experience improvements.<br>Minimum Entry Qualifications:Bachelor’s Degree in Computer Science, Engineering or Similar<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Prior experience in data science and AI/ML-based advanced analytics, including hands-on development on leading data science platforms (Dataiku as the primary platform) using Python and R. Demonstrated expertise in predictive modelling for telecommunications (telco) customer analytics (e.g., churn prediction, propensity, customer lifetime value (CLV)) as well as segmentation,recommendation/decisioning systems, and timeseries forecasting. Experience implementing hyper-personalization and Next Best Offer/Action frameworks in marketing and digital sales contexts. Practical knowledge of Gen AI/LLM solutions (e.g., prompt engineering, retrieval-augmentedgeneration, evaluation methodologies, and model guardrails) and hands-on experience using Gemini and/or Azure AI for automation and customer experience use cases, Strong command of SQL and PL/SQL for advanced feature extraction with large-scale data on enterprise data platforms (e.g., Teradata, Oracle, Big Query) Familiarity with MLOps practices – such as version control, pipeline orchestration, model registry,CI/CD deployment patterns, monitoring, and lifecycle management – within Dataiku and incollaboration with Technology teams. Understanding of Responsible AI principles, including privacy, security, and bias mitigation for AI models and automated decisioning. Excellent understanding of telecommunications commercial practices and customer journeys, andthe ability to work cross-functionally with Product, Marketing, Sales, Digital, Technology teams.

Job Description<br><br>Role- Java Developer<br><br>Must Have skills- Agile, Web Services, JAVA, Spring Boot, Microservices<br><br>Nice To Have Additional Skills * Advanced level of knowledge and production experience in backend development Java 8/11, Spring Boot, REST APIs, Microservices, Azure Fundamental, including hands-on experience deploying production-grade REST APIs using frameworks like Fast API , Flask, or Django. * API Design Strong knowledge of designing and implementing RESTful APIs, including understanding of HTTP methods, request/response structures, and API security practices. * AI Integration Experience working with AI models, including deploying and managing model inference in backend systems. * AI application development Experience with LLM frameworks such as Langchain / Langgraph. Database Management Proficiency in working with SQL and NoSQL databases such as Postgre SQL, MySQL, or Mongo DB, including designing efficient database schemas and query optimization. * Cloud Platforms Experience with deploying backend services on cloud platforms such as AWS, GCP, or Azure. Docker, Kubernetes, and CI/CD pipelines.

Job Description<br><br>Role- Java Technical Lead<br><br>Must have Skills- Agile, Web Services, JAVA, Spring Boot, Microservices<br><br>Nice To Have : Additional Skills: * Advanced level of knowledge and production experience in backend development: Java 8/11, Spring Boot, REST APIs, Microservices, Azure Fundamental, including hands-on experience deploying production-grade REST APIs using frameworks like Fast API, Flask, or Django. * API Design: Strong knowledge of designing and implementing RESTful APIs, including understanding of HTTP methods, request/response structures, and API security practices. * AI Integration: Experience working with AI models, including deploying and managing model inference in backend systems. * AI application development: Experience with LLM frameworks such as Langchain/Langgraph. * Database Management: Proficiency in working with SQL and NoSQL databases such as Postgre SQL, MySQL, or Mongo DB, including designing efficient database schemas and query optimization. * Cloud Platforms: Experience with deploying backend services on cloud platforms such as AWS, GCP, or Azure. Docker, Kubernetes, and CI/CD pipelines.

Job Description<br><br>Role Title: Arabic Language Expert<br><br>Role Type: Contract<br><br>Location: Remote<br><br>About This Role<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world’s largest AI companies and foundation model labs—your work directly helps improve the world’s premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your Profile<br><br>Bachelor’s degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br>Key Responsibilities<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)

Job Description<br><br>Role Title: Arabic Language Expert<br><br>Role Type: Contract<br><br>Location: Remote<br><br>About this role:<br><br>You will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with, a fast-growing AI Data Services company providing training data for many of the world's largest AI companies and foundation model labs—your work directly helps improve the world's premier AI models. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.<br><br>Your profile:<br><br>Bachelor's degree (or higher) in Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field. Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred). Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent). Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work. Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines. Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent. Comfort working independently in a remote, asynchronous environment with reliable availability and communication. Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred. Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) is preferred.<br><br><br>Key responsibilities:<br><br>Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. (English proficiency required: Minimum C1) Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1) Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)

Department: Project Development / Investment Development Reports To: Chief Executive Officer Location: Doha, Qatar Employment Type: Full-Time<br>Job Summary The Sustainable Projects Development Officer is responsible for identifying, evaluating, and developing commercially viable projects that generate both financial returns and measurable social impact. The role focuses on transforming promising development and investment ideas into well-structured, implementation-ready opportunities through market research, feasibility assessment, business model development, financial analysis, and project planning. The position will support the organization's growth strategy by developing scalable and sustainable investment opportunities across emerging markets and countries with significant development needs, particularly within the water, food, agriculture, education, healthcare, housing, and logistics sectors.<br>Project Development Cycle Opportunity Identification → Market Analysis → Feasibility Assessment → Business & Financial Modeling → Investment Proposal → Approval → Implementation<br>Key Responsibilities1. Opportunity Identification & Project Development Identify and assess sustainable investment and development opportunities in target markets. Explore opportunities across priority sectors, including water, food, agriculture, education, healthcare, housing, and logistics. Develop innovative project concepts that combine commercial sustainability with measurable social and developmental impact. Transform initial concepts into structured, practical, and implementation-ready project proposals. Develop scalable and replicable project models suitable for implementation across different markets and regions.<br>2. Feasibility Studies & Business Modeling Lead and coordinate preliminary and detailed feasibility assessments for proposed projects. Develop comprehensive project proposals covering:Market opportunity and demand. Project scope and operating model. Revenue and business model. Financing structure and capital requirements. Implementation requirements and timeline. Key risks and mitigation measures. Expected financial and social impact. Evaluate the commercial, operational, and developmental viability of proposed opportunities. Coordinate with the Financial Analyst to develop financial models, forecasts, investment scenarios, and return assessments.<br>3. Market Research & Investment Analysis Conduct market, sector, and country research to identify attractive development investment opportunities. Analyze market size, demand, competition, regulatory environment, operating conditions, and potential barriers to entry. Assess political, economic, operational, financial, and implementation risks associated with proposed projects. Convert market intelligence and research findings into clear, actionable investment recommendations. Build and maintain a structured pipeline and database of potential investment opportunities.<br>4. Project Pipeline Management Manage and follow up on projects throughout the evaluation and development stages.