Machine operator Jobs

Role Overview:<br><br>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.<br><br>Key Responsibilities:<br><br>Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions<br><br>Requirements:<br><br>Master’s or PhD in Data Science, AI, or related field10–13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Title: Digital Marketing Manager (B2B) Position Type: Full-Time, Remote Working Hours: U.<br>S. Eastern Time (EST) About the Role Our client is seeking a results-driven Digital Marketing Manager (B2B) to lead and scale the company’s marketing strategy across paid, organic, outbound, and brand channels.<br> This role combines strategic leadership with hands-on execution and is ideal for a growth-minded marketer who thrives in fast-paced environments, understands modern B2B marketing trends, and can drive measurable pipeline and revenue impact.<br> The Digital Marketing Manager will own the full marketing funnel — from demand generation and lead nurturing to brand positioning and performance optimization — ensuring consistent growth, high-quality lead flow, and strong brand visibility.<br> The ideal candidate is analytical, creative, execution-focused, and comfortable balancing strategy with day-to-day campaign management.<br> Responsibilities Strategy &amp; Marketing Leadership • Develop and execute a comprehensive B2B marketing strategy aligned with company growth goals • Own the marketing funnel end-to-end, from awareness and demand generation through lead nurturing and conversion • Partner closely with leadership and sales teams to align marketing initiatives with revenue objectives • Build, manage, and mentor high-performing marketing resources, agencies, or contractors as needed • Identify scalable growth opportunities across acquisition, retention, and brand channels Campaign Management &amp; Growth Execution • Lead and optimize multi-channel marketing campaigns across paid media, SEO, outbound, email marketing, social media, partnerships, and content • Manage budgets and allocate spend strategically to maximize ROI and efficiency • Oversee campaign messaging, positioning, and creative direction to maintain brand consistency • Launch and manage performance-driven campaigns focused on pipeline growth and customer acquisition • Test new acquisition channels, campaign structures, audiences, and messaging to improve results Analytics, Optimization &amp; Reporting • Track and analyze campaign performance metrics including CAC, CPL, ROAS, conversion rates, traffic, MQLs, SQLs, and revenue attribution • Build dashboards and reports using platforms such as HubSpot, Google Analytics, Looker Studio, or other analytics tools • Use data-driven insights to refine targeting, messaging, budget allocation, and campaign strategy • Present actionable recommendations and performance updates to leadership regularly • Continuously optimize campaigns through A/B testing and experimentation Content, Branding &amp; Messaging • Collaborate with content, design, and technical teams to ensure cohesive execution across channels • Guide messaging strategy and brand positioning to strengthen market visibility and engagement • Support content initiatives including blogs, landing pages, outbound messaging, and campaign assets • Ensure all marketing efforts align with brand voice, customer pain points, and business objectives Cross-Functional Collaboration • Work closely with sales teams to improve lead quality, funnel conversion, and campaign alignment • Coordinate with operations and product stakeholders to ensure marketing supports business priorities • Contribute to broader growth strategy discussions and go-to-market initiatives What Makes You a Perfect Fit • Strategic thinker who connects marketing execution to business outcomes • Hands-on operator comfortable managing campaigns and optimizing performance directly • Data-driven marketer who thrives on experimentation, testing, and continuous improvement • Creative storyteller capable of building compelling brand and campaign messaging • Strong communicator and collaborative leader who works effectively across teams Required Experience &amp; Skills • Proven experience in B2B marketing leadership roles such as Head of Marketing, Growth Lead, or Senior Marketing Manager • Demonstrated success driving measurable growth through paid ads, outbound marketing, SEO, and organic channels • Strong understanding of modern B2B marketing tools and platforms including LinkedIn Ads, Google Ads, Meta Ads, HubSpot, analytics tools, and outbound systems • Experience balancing strategic planning with hands-on execution • Strong analytical mindset with experience interpreting performance data and optimizing campaigns accordingly • Excellent leadership, communication, and project management skills Preferred Experience &amp; Skills • Experience leading marketing functions in B2B service-based, SaaS, or professional industries • Background in account-based marketing (ABM) or performance-driven demand generation • Familiarity with CRM and automation platforms such as HubSpot, Salesforce, or Marketo • Experience managing cross-functional marketing teams or external agencies • Strong branding, storytelling, and positioning capabilities • Experience scaling marketing systems in high-growth environments What Does a Typical Day Look Like?<br> A Digital Marketing Manager’s day is a mix of strategic planning, campaign execution, and performance analysis.<br> You will: • Review campaign dashboards and optimize active marketing initiatives • Collaborate with leadership, sales, and content teams to align priorities and messaging • Launch and refine campaigns across paid and organic channels • Monitor lead flow, pipeline quality, and funnel conversion performance • Test new acquisition ideas, audience segments, creatives, and messaging strategies • Analyze campaign data and prepare actionable reports and recommendations In essence: you are responsible for driving pipeline growth, strengthening brand visibility, and ensuring marketing efforts generate measurable business impact.<br> Key Metrics for Success (KPIs) • Marketing Qualified Leads (MQLs) and Sales Qualified Leads (SQLs) • Customer Acquisition Cost (CAC) and Marketing ROI • Website traffic and conversion rate growth • Lead-to-opportunity and opportunity-to-customer conversion rates • Paid campaign performance and ROAS • Brand visibility, engagement, and audience growth across channels Interview Process • Application Review – Assessment of experience and role alignment • Initial Interview – Discussion of background, marketing expertise, and growth mindset • Technical Interview – Deep dive into strategy, campaign management, analytics, and execution capabilities • Final Interview – Leadership and culture fit discussion with the client team • Offer &amp; Background Verification #DigitalMarketing #B2BMarketing #GrowthMarketing #DemandGeneration #PerformanceMarketing #MarketingManager #LinkedInAds #GoogleAds #LeadGeneration #RemoteJobs #MarketingLeadership #InboundMarketing #OutboundMarketing #ABM #HubSpot #MarketingJobs</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

Additional Information<br><br>Job Number 26093199<br><br>Job Category Housekeeping & Laundry<br><br>Location The Pearl Island, Doha, Qatar, Qatar, 14875VIEW ON MAP<br><br>Schedule Full Time<br><br>Located Remotely? N<br><br>Position Type Non-Management<br><br>Utiliser et contrôler les machines à laver, de nettoyage à sec et les sèche-linge, faire l'appoint de produits lavant et nettoyer les filtres au besoin. Isoler les articles tachés ou endommagés et déterminer s'il convient de les réparer, de les détacher, de les relaver ou de les jeter. Contrôler la propreté des articles qui sortent des machines à laver, sèche-linge ou machines de nettoyage à sec et les placer dans les chariots de linge propre. Régler la durée et la température de séchage des sèche-linge en fonction des tissus/textiles. Retirer les peluches et autres éléments des filtres des sèche-linge et des machines de nettoyage à sec et vider les filtres après chaque chargement. Plier les articles propres à la taille indiquée, à la main ou à l'aide d'une machine. Tenir à jour la liste des articles nettoyés.<br><br>Suivre et appliquer toutes les politiques et procédures de sécurité de la chaîne; rapporter les problèmes de maintenance, les risques d’accident, les accidents ou les blessures; suivre les formations et obtenir les certifications requises en matière de sécurité. Veiller à ce que son uniforme et son apparence soient propres et professionnels. Respecter la confidentialité des renseignements exclusifs; protéger les biens de l’entreprise. Soutenir tous les collègues et les traiter avec dignité et respect. Soutenir l’équipe dans l’atteinte des objectifs communs. Se conformer aux attentes et aux normes d’assurance qualité. Déplacer, soulever, porter, pousser, tirer et placer des objets pesant jusqu’à 25 livres (11,3 kg) sans assistance. Se tenir debout, assis ou marcher pendant une période prolongée ou pour un quart de travail complet. Inspecter visuellement les outils, l’équipement et les machines (p. ex., pour identifier les défauts). Atteindre les objets au-dessus de la tête et au-dessous des genoux, y compris se plier, faire des rotations du corps, tirer et se baisser. Se déplacer dans des espaces étroits, confinés, ou élevés. Se déplacer sur des surfaces en pente, inégales ou des marches glissantes. Monter et descendre les escaliers et les rampes de service. Effectuer toutes les autres tâches demandées par les responsables et qui correspondent au poste.<br><br>Qualifications Recommandées<br><br>Niveau d’études:Aucun diplôme d’études secondaires ou équivalence de niveau secondaire<br><br>Expérience de travail connexe:Aucune expérience de travail connexe.<br><br>Expérience de supervision:Aucune expérience de supervision.<br><br>Permis ou certification:Aucune<br><br>Chez Marriott International, nous nous engageons à promouvoir l’égalité d’accès à l’emploi, à accueillir dignement chaque personne et à offrir les mêmes opportunités à tous. Nous avons instauré un environnement dans lequel les particularités de nos collaborateurs sont appréciées et célébrées. Notre plus grande force réside dans le mélange varié de cultures, de compétences et d’expériences de nos collaborateurs. Nous veillons à prévenir toute discrimination fondée sur des critères protégés, notamment le handicap, le statut de vétéran et tout autre aspect couvert par la loi en vigueur.<br><br>Alliant un charme intemporel à un esprit d'avant-garde, l'enseigne St. Regis Hotels & Resorts propose des expériences exceptionnelles dans plus de 50 hôtels et resorts de luxe à travers le monde. Depuis le premier hôtel St. Regis à New York, fondé par John Jacob Astor IV à l'aube du XXe siècle, l'enseigne n'a cessé d'offrir à sa clientèle un service personnalisé, impeccable et prévenant, grâce à son personnel bienveillant qui associe le raffinement classique à la sensibilité moderne, et à son service de majordome exclusif. Nous vous invitons à parcourir nos offres d'emploi. En intégrant l'équipe St. Regis, vous rejoignez également le portefeuille d'établissements de Marriott International. Choisissez une entreprise qui vous donne la possibilité de donner le meilleur de vous-même, de donner un sens à votre vie professionnelle, de faire partie d'une incroyable équipe internationale et de devenir la meilleure version de vous-même.

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.<br><br>Job Duties<br><br>Under broad direction, supervises the day to day activities of Slickline service personnel and shop personnel to meet customer requirements. Employee may be involved in the hiring of crews and disciplinary action of those crews. Job primarily focuses on the personnel development of crews, through mentoring and on the job training, as well as ensuring service delivery excellence and customer satisfaction through process adherence. Mentors and assesses competence of Slickline Service Supervisors, Service Operators and Operator Assistants. The Service leader provides guidance on specific job designs based on downhole conditions as part of the Design of Service process. The Service Leader will need to Interact with the customer&aposs representatives at the well site to seek feedback about the crew and troubleshoot any execution issues that may occur. The service leader ensures that all activities are performed in a manner that complies with HMS processes and regulatory requirements and invokes the Management of Change process if there is a deviation required from the process. In addition based on location, the Slickline service leader may perform other duties that include but not limited to gathering job performance data, customer feedback and job packet processing. A high school diploma is required with 3 years of experience as a Service Supervisor.<br><br>Qualifications<br><br>Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.<br><br>Location<br><br>Ras laffan Industrial City Zubara, Doha, , , Qatar<br><br>Job Details<br><br>Requisition Number: 209221<br><br>Experience Level: Experienced Hire<br><br>Job Family: Support Services<br><br>Product Service Line: [[division]]<br><br>Full Time / Part Time: Full Time<br><br>Additional Locations for this position: <br><br>Compensation Information<br><br>Compensation is competitive and commensurate with experience.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements:</h2><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

Job Location:<br><br>Al Najada Doha Hotel By Tivoli<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>The Housekeeping Supervisor assists the Executive Housekeeper and Assistant Executive Housekeeper in ensuring the smooth operation of the department. The Supervisor needs to assign the team's daily duties and inspect work for adherence to prescribed standards of cleanliness. You will oversee the development of your team to ensure delivery of exceptional customer experiences.<br><br>Qualifications<br><br>Experience in a supervisory role within a Hotel and collaborating with business stakeholders Have the ability to adapt to shifting priorities and align activities to meet organizational goals Strong presentation skills and organisational skills High degree of self-awareness with demonstrated aptitude for self-improvement<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Senior Software Engineer – Embedded & Autonomous Systems???? Location: Qatar Science & Technology Park (QSTP), Qatar???? Company: Rheinmetall Barzan Advanced Technologies (RBAT)<br>About RBATRheinmetall Barzan Advanced Technologies (RBAT) is a joint venture between Rheinmetall and Barzan Holdings, delivering advanced defense and security technologies. RBAT specializes in Command & Control (C2) systems, autonomous platforms, and innovative solutions that enhance operational effectiveness and critical infrastructure protection.<br>The Opportunity We are seeking an experienced Senior Software Engineer – Embedded & Autonomous Systems to join our growing engineering team. This role is ideal for professionals passionate about robotics, autonomous systems, embedded software, and real-time applications in a high-technology environment.<br>Key Responsibilities Design and develop high-performance C++ applications for embedded and autonomoussystems. Integrate sensors, autopilot systems, and robotics middleware into complex platforms. Develop autonomous navigation, planning, control, and sensor fusion algorithms. Implement real-time communications using networking and middleware technologies. Contribute to AI, machine learning, and computer vision capabilities. Collaborate with multidisciplinary teams to deliver integrated operational solutions. Participate in software architecture, code reviews, testing, and documentation activities. Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Robotics, Mechatronics, or a related field.10+ years of experience in embedded software and system development. Strong expertise in C++ and real-time software engineering. Hands-on experience with ROS/ROS2, MAVLink/MAVROS, PX4, Ardu Pilot, or similar autonomous systems. Experience with sensor integration, distributed systems, and communication protocols. Exposure to AI, Machine Learning, and Computer Vision is an advantage. Experience with Agile development, Git, CI/CD, JIRA, and Confluence.<br>Why Join RBAT?✔ Work on cutting-edge autonomous and defense-grade technologies.✔ Collaborate with a highly skilled international engineering team.✔ Contribute to innovative projects with real-world impact.✔ Thrive in a dynamic, agile, and research-driven environment.<br>???? Interested candidates are invited to apply through Linked In or submit their CV for consideration.

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

Job Description<br><br>Must Have<br><br> 6–10 years of experience in data science, analytics, or applied statistics, including a demonstrable track record of leading projects end to end. Senior technical voice on a data science team — setting modeling standards, reviewing peer work, and mentoring less-experienced data scientists. Deep command of statistics, experimental design, and a broad modeling toolkit spanning classical machine learning, time-series, and deep learning. Demonstrated ability to translate ambiguous business and policy questions into rigorous, decision-ready analysis for executive audiences. Commitment to statistical soundness, reproducibility, and continuous learning in statistical and machine-learning methods. <br><br>Nice to have<br><br> Experience in the government or large-enterprise sector, ideally in Qatar or the wider GCC. Familiarity with Oracle Cloud Infrastructure (OCI) and cloud-based analytics environments. Exposure to deploying models into production in partnership with engineering teams. Domain expertise in a relevant vertical such as public sector, finance, telecom, or healthcare. Experience with causal inference or advanced experimentation methods. Working knowledge of data visualization or business-intelligence tools for stakeholder communication. Relevant data science or cloud certifications. <br><br>Responsibilities<br><br> Lead the design and execution of advanced analytics and statistical modeling projects, from problem framing through to validated, decision-ready insight. Translate ambiguous business and policy questions into well-defined data science problems, measurable hypotheses, and analytical plans. Define and enforce modeling methodology, experimentation standards (including A/B testing and quasi-experimental designs), and model validation practices across the team. Build, evaluate, and interpret advanced predictive and statistical models using Python (pandas, scikit-learn, statsmodels) and SQL. Select appropriate techniques across regression, classification, clustering, time-series, deep learning, and causal inference, and justify trade-offs to stakeholders. Own the statistical soundness of analytical deliverables, including assumptions, uncertainty quantification, and limitations. Establish reproducible analytical workflows and promote good practice in code quality, documentation, and version control within the team. Present findings and recommendations to senior, often non-technical, stakeholders through clear narratives and visualizations that drive decisions. Review and provide technical feedback on the analytical work of data scientists, raising the overall standard of the team. Mentor and coach junior and mid-level data scientists, supporting their technical and professional growth. Partner with machine-learning and AI engineers to hand off validated models for productionization and to define monitoring and success metrics. Contribute to proposals, scoping, and effort estimation for new data science engagements. <br><br>Qualifications<br><br> Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field; Master's or PhD preferred. Deep proficiency in Python for analysis and the scientific stack (pandas, Num Py, scikit-learn, statsmodels) and strong SQL. Strong foundation in statistics and experimental design, with command of a broad range of modeling techniques. Hands-on experience applying deep learning and neural network architectures using frameworks such as Tensor Flow or PyTorch. Experience designing and interpreting experiments and translating results into business recommendations. Demonstrated ability to frame business problems and communicate analytical results to executive and non-technical audiences. Experience mentoring analysts or data scientists and setting analytical standards or methodology. Strong understanding of the end-to-end data science lifecycle, including data quality, validation, and model handoff. Ability to manage multiple workstreams and stakeholders simultaneously.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24379BR<br><strong>Description:</strong><br>Develop enterprise digital transformation strategies and deliver enterprise solutions by combining cloud modernization, AI adoption, data-driven solutions, process automation, enterprise system integration, and modern application architecture. Lead the design and implementation of scalable, secure, and production-ready platforms using Azure, AWS, Generative AI, machine learning, and DevOps practices. The role includes defining technology roadmaps, modernizing enterprise applications, integrating AI into business processes, leading cloud migration initiatives, integrating enterprise platforms and third-party systems, and enabling innovation through secure, scalable, and high-impact digital solutions.<br>Key Skills:<br>1- Digital Transformation: Digital transformation strategy, technology roadmap development, business process modernization, enterprise application modernization, cloud adoption planning, AI adoption strategy, and digital innovation delivery.<br>2- Cloud &amp; Enterprise Architecture: Azure cloud architecture, AWS cloud services, Azure PaaS/IaaS, microservices, event-driven architecture, service-oriented architecture, scalable system design, high-availability architecture, and enterprise integration.<br>3- Artificial Intelligence &amp; Generative AI: Azure OpenAI, Generative AI, LLMs, RAG, Agentic RAG, multi-agent systems, Semantic Kernel, LangChain, LangGraph, prompt engineering, vector search, Azure AI Search, FAISS, and AI-powered enterprise assistants.<br>4- Data, Machine Learning &amp; Analytics: Azure Machine Learning, AWS SageMaker, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, data science, NLP, deep learning, Power BI, SQL Server, Cosmos DB, and data-driven decision support.<br>5- DevOps, Automation &amp; Cloud Delivery: Azure DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, AKS, Jenkins, infrastructure as code, cloud deployment automation, monitoring, and application performance management.<br>6- Software Engineering &amp; Integration: .NET Core, C#, ASP.NET Web APIs, React, TypeScript, JavaScript, REST APIs, SQL Server, SharePoint, Power Apps, Power Automate, Nintex, ERP integration, third-party system integration, API integration, and enterprise platform integration.<br>7- Communication &amp; Leadership: Bilingual communication in Arabic and English, solution architecture leadership, technical team leadership, stakeholder engagement, proof of concepts, technical mentoring, Agile delivery, PMP practices, and end-to-end solution delivery.<br><strong>Qualifications:</strong><br>• Must have a Bachelor's degree in Technology or any related field.<br>• Must have 15+ years in software engineering, solution architecture, cloud architecture, or digital transformation.<br>• Must have hands-on experience delivering Azure-based cloud solutions, enterprise AI initiatives, application modernization programs, and large-scale digital transformation projects.<br>• Proven experience in leading digital transformation projects in the infrastructure sector or similar<br>• Good communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders at all levels.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):Qatar-Doha</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Consulting, IT/IS, Software Development</strong></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><strong>Requisition Number:</strong> 24379BR<br><strong>Description:</strong><br>Develop enterprise digital transformation strategies and deliver enterprise solutions by combining cloud modernization, AI adoption, data-driven solutions, process automation, enterprise system integration, and modern application architecture. Lead the design and implementation of scalable, secure, and production-ready platforms using Azure, AWS, Generative AI, machine learning, and DevOps practices. The role includes defining technology roadmaps, modernizing enterprise applications, integrating AI into business processes, leading cloud migration initiatives, integrating enterprise platforms and third-party systems, and enabling innovation through secure, scalable, and high-impact digital solutions.<br>Key Skills:<br>1- Digital Transformation: Digital transformation strategy, technology roadmap development, business process modernization, enterprise application modernization, cloud adoption planning, AI adoption strategy, and digital innovation delivery.<br>2- Cloud &amp; Enterprise Architecture: Azure cloud architecture, AWS cloud services, Azure PaaS/IaaS, microservices, event-driven architecture, service-oriented architecture, scalable system design, high-availability architecture, and enterprise integration.<br>3- Artificial Intelligence &amp; Generative AI: Azure OpenAI, Generative AI, LLMs, RAG, Agentic RAG, multi-agent systems, Semantic Kernel, LangChain, LangGraph, prompt engineering, vector search, Azure AI Search, FAISS, and AI-powered enterprise assistants.<br>4- Data, Machine Learning &amp; Analytics: Azure Machine Learning, AWS SageMaker, Python, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, data science, NLP, deep learning, Power BI, SQL Server, Cosmos DB, and data-driven decision support.<br>5- DevOps, Automation &amp; Cloud Delivery: Azure DevOps, CI/CD pipelines, Terraform, Docker, Kubernetes, AKS, Jenkins, infrastructure as code, cloud deployment automation, monitoring, and application performance management.<br>6- Software Engineering &amp; Integration: .NET Core, C#, ASP.NET Web APIs, React, TypeScript, JavaScript, REST APIs, SQL Server, SharePoint, Power Apps, Power Automate, Nintex, ERP integration, third-party system integration, API integration, and enterprise platform integration.<br>7- Communication &amp; Leadership: Bilingual communication in Arabic and English, solution architecture leadership, technical team leadership, stakeholder engagement, proof of concepts, technical mentoring, Agile delivery, PMP practices, and end-to-end solution delivery.<br><strong>Qualifications:</strong><br>• Must have a Bachelor's degree in Technology or any related field.<br>• Must have 15+ years in software engineering, solution architecture, cloud architecture, or digital transformation.<br>• Must have hands-on experience delivering Azure-based cloud solutions, enterprise AI initiatives, application modernization programs, and large-scale digital transformation projects.<br>• Proven experience in leading digital transformation projects in the infrastructure sector or similar<br>• Good communication and interpersonal skills, with the ability to build and maintain strong relationships with stakeholders at all levels.<br><strong>About Stantec:</strong><br>We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a drive to do the extraordinary.<br>The Stantec community unites approximately 22,000 employees working in over 400 locations across six continents. We collaborate across disciplines and industries to bring projects to life. Our work as architects, engineers, and consultants from initial project concept and planning through design, construction and commissioning is built on a solid history of success. So, when we take on a project, we see the opportunity to make a lasting connection with the people and places where we live and work. Redefine your personal best. Join us!<br><strong>Work Location(s):Qatar-Doha</strong><br><strong>Employment Type:</strong> <strong>Full-Time</strong><br><strong>Job Type:</strong> <strong>Regular</strong><br><strong>Job Category:</strong> <strong>Consulting, IT/IS, Software Development</strong></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul> <li>Advise and support machinery control systems implementation during and Startup phase until handover to permanent Asset whilst ensuring project deliverables meet Operations expectations in term of Safety, Operability, Reliability and Maintainability over the facility design life cycle.</li> </ul><br><ul> <li>Provide a variety of Machinery Control Engineering supports (in the areas of GE, CCC, DCS, DLN tuning, etc.) to contribute to the division strategy and goals which include design reviews, studies, commissioning, start-up, failure analysis and advanced troubleshooting as part of punch list and warranty claim resolutions, and Management of Change.</li> <li>Review, validate and support development of advanced machinery control schemes of machines and its drivers (Gas turbine, Steam turbine and variable frequency drives for motor) of new projects to achieve high standards of Reliability, Availability and Cyber Security.</li> <li>Review and develop testing procedures like surge tests, DLN tuning, Machine Test Runs and performance tuning for turbo machinery systems and DCS controls for machinery.</li> <li>Support Factory Acceptance Tests and review performance test results of machines. Validate machinery performance with theoretical calculation and compare performance maps and actual performance at site.</li> <li>Develop plans and work schedules to ensure effective completion of tasks and activities, meeting the section and division KPIs.</li> <li>Provide technical inputs related to area of expertise to other disciplines and functions as per requirements to support overall business objectives with the key focus being in the area of process and machine interactions.</li> <li>Control and supervise the activities undertaken by contractors, consultants and service providers.</li> <li>Guide less experienced engineers in implementing the company integrity and reliability systems.</li> <li>Maintain Issue Register identifying and resolving critical issues including new technology risks (under area of responsibility) which could impact new project Reliability, Availability and Cyber Security. Prepares discipline handover packages for operating company following startup.</li> <li>Support high risk commissioning activities for high complexities &amp; large-scale projects by (a) undertaking stringent system surveillance, (b) tuning and optimizing machinery control systems, and (c) providing advisory support to Operations and Maintenance.</li> </ul><br><ul> <li>Bachelor Degree in Engineering or Science major in Engineering in the area of specialization.</li> <li>8 years' experience in the area of specialization within Oil and Gas industry.</li> <li>Expert level knowledge in machinery control systems and schemes such as GE, CCC, DCS and DLN tuning.</li> <li>Able to work and make decisions under highly stressing conditions.</li> <li>Fluent in written and spoken English.</li> <li>Strong leadership &amp; people skills.</li> <li>Computer literacy involving the regular use of professional office and technical applications.</li> </ul><br><ul> <li><strong>Salary:</strong><ul> <li>Day Rate in USD Plus Allowance</li> </ul></li> <li><strong>Work Schedule:</strong><ul> <li>8 Hours / 5 Days</li> </ul></li> </ul> <ul> <li><strong>Duration:</strong> <ul> <li>1 year, with possible extension</li> </ul> </li> <li><strong>Location:</strong> <ul> <li>Qatar</li> </ul> </li> </ul> </div>

Job Location:<br><br>Souq Waqif Boutique Hotel By Tivoli<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>The primary responsibility of a guest service agent is to provide expertise services in a courteous manner. You are responsible for taking reservations, greeting and registering guests, providing outstanding guest service during their stay, and settling the guest’s account upon completion of their stay.<br><br>You will handle all guest enquires, requests and comments promptly and efficiently, ensuring their stay in the hotel is to their satisfaction.<br><br>Qualifications<br><br> A strong focus on customer service Prior experience in hotel front office operations is preferred Excellent communication skills; fluency in English is required Be able to work shifts, weekends and public holidays Computer skills in Ms Office; experience with current Property Management Systems (PMS) is preferred<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>You will responsible to complete activities on the preventive maintenance schedule as specified in hotel plans, to clean all work areas after finishing the tasks properly and look after all the tools supplied by the Hotel in a professional manner, and correctly maintain and deposit them after finishing the shift. We also want you to actively participate in the energy conservation programs of the Hotel and to suggest cost saving ideas as and when possible, not limited to the Engineering Department.<br><br>Qualifications<br><br> Must have the appropriate documented training from a technical/vocational institute. One year operating experience in a hotel engineering department. Good civil or masonry knowledge.<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>You will ensure that everyone who arrives or departs from our property receives a warm welcome and a friendly goodbye. You are a key person in the delivery of our guest service experience and will serve as a guide, ambassador and source of information for the hotel. While the main responsibility is to control the lobby traffic and assist guests, there are many intangible elements to the role. Being highly guest-interactive, flexible, and possessing extensive knowledge of the hotel operation is essential for your success in this role.<br><br>Qualifications<br><br> High School Diploma Passionate about hospitality Positive learning attitude Good communication skills Good level of English<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Job Location:<br><br>Souq Waqif Boutique Hotel By Tivoli<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>You will responsible to complete activities on the preventive maintenance schedule as specified in hotel plans, to clean all work areas after finishing the tasks properly and look after all the tools supplied by the Hotel in a professional manner, and correctly maintain and deposit them after finishing the shift. We also want you to actively participate in the energy conservation programs of the Hotel and to suggest cost saving ideas as and when possible, not limited to the Engineering Department.<br><br>Qualifications<br><br> Must have the appropriate documented training from a technical/vocational institute. One year operating experience in a hotel engineering department. Good civil or masonry knowledge.<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>Job Responsibilities<br><br>Ensure a high standard of cleanliness is evident throughout the property in Housekeeping (in rooms, public and common areas). Build a productive and professional relationship with Housekeepers staff members, Housekeepers clients and all contractor personal;Support housekeeping team to provide an excellent cleaning service;Oversee daily on the job training for all cleaning employees;Maintain accurate financial, maintenance and inventory records;<br><br>Qualifications<br><br>Experience in the management of a housekeeping team;Experience controlling and maintaining budgets, all operating supplies, replacements and consumables;Excellent communication and interpersonal skills;Excellent time management and organisational skills;Strong eye for detail, and ability to follow procedures and set the standard for cleanliness.<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!

Job Location:<br><br>Banana Island Resort Doha By Anantara<br><br>Overview<br><br>Minor Hotels is an international hotel owner, operator and investor, currently with a diverse portfolio of over 530 properties designed intelligently to appeal to a variety of travellers, serving new passions as well as personal needs. Through our Anantara, Avani, Elewana, Oaks, NH Hotels, NH Collection, nhow and TIVOLI properties, Minor Hotels operates in 50+ countries across Asia Pacific, the Middle East, Africa, the Indian Ocean, Europe and South America.<br><br>The Linen Runner is responsible for the timely delivery, collection, and organization of clean and soiled linens throughout the facility. This role ensures that all linen supplies are replenished as needed in guest rooms, housekeeping closets, or medical units, depending on the setting. The Linen Runner supports the housekeeping and laundry teams by maintaining cleanliness standards and operational efficiency.<br><br>Qualifications<br><br>High school diploma or equivalent preferred. Prior experience in hospitality, healthcare, or laundry services is a plus. Ability to lift up to 50 pounds and stand/walk for extended periods. Strong attention to detail and reliability. Good communication skills and a team-oriented attitude. Must be able to follow directions and work independently.<br><br>Not the right fit? Set up email alerts as new job postings become available that meet your interest!