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ai expert for plant data model (pdm project) Jobs in Doha Qatar

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Tangent International

<div>
 
 
 Business Analyst
 
 
 
 📍 Doha, Qatar | Healthcare Technology
 
 
 
 
 
 We&rsquo;re supporting a rapidly growing healthcare technology organisation that is expanding its analytics and transformation capability as it continues to scale across the region.
 
 
 
 
 
 The company builds advanced digital platforms used by healthcare providers to improve operational performance, automate processes, and enhance data-driven decision making.
 
 
 
 
 
 They are now looking to hire a Business Analyst to support a range of initiatives focused on process optimisation, systems improvement, and operational efficiency across the organisation.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 <ul>
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 Analysing business processes and identifying opportunities for improvement
 </li>
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 Gathering and documenting business and system requirements
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 Supporting operational and technology improvement initiatives
 </li>
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 Conducting process mapping, gap analysis, and workflow optimisation
 </li>
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 Analysing operational data to generate insights and recommendations
 </li>
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 Working closely with stakeholders across business and technology teams
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 Strong experience in Business Analysis or Process Improvement
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 Experience gathering and documenting business requirements
 </li>
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 Strong analytical and problem-solving capabilities
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 Experience with process mapping, workflow analysis, or gap analysis
 </li>
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 Ability to communicate complex ideas clearly to technical and non-technical stakeholders
 </li>
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 Strong documentation and reporting skills
 </li>
 </ul>
 
 
 
 
 
 Why consider this opportunity?
 
 
 <ul>
 <li>
 Join a high-growth healthcare technology organisation
 </li>
 <li>
 Work on systems, data, and operational transformation initiatives
 </li>
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 Collaborate with cross-functional teams and senior stakeholders
 </li>
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 Strong long-term career growth in a fast-evolving industry
 </li>
 </ul>
 
 
 
 
 📩 Interested? Apply directly or reach out for a confidential discussion.
 
</div>

Business Analyst

ENERGYX

The Role
 Analyst-Investment & Strategy Role Overview • EnergyX is seeking an Analyst-Investment & Strategy to support M&A execution, financial modelling, fundraising, and IPO readiness. • The role works closely with senior leadership, finance teams, and external advisors on strategic transactions and capital planning. Key Responsibilities Financial Modelling & Valuation: • Build integrated financial models for M&A, investments, fundraising, and long-term planning. • Perform valuation analysis (DCF, trading comps, precedent transactions) and scenario modelling. M&A, Transactions & Capital Market: • Support target evaluation, due diligence, deal structuring, pricing analysis, and preparation of investment memoranda, board materials, and management presentations. • Develop investor models, forecasts, KPIs, and financial narratives, and support equity/debt fundraising and IPO readiness processes.
 
Requirements
 Educational Qualifications: • Bachelor’s degree in Finance, Economics, Accounting, or related field. Experience: • 2-4+ years of experience in investment banking, capital markets (DCM/ECM), M&A, private equity, or transaction advisory. • Strong financial modelling skills with experience in M&A and fundraising transactions. Preferred Qualifications: • CFA or CPA (or active candidate). • Global transaction (M&A or IPO) exposure. • Qatari nationals preferred. Key Skills: • Advanced financial modelling and analytical skills. • Strong presentation and communication abilities. • Ability to manage multiple transactions in a fast-paced environment.
 
About the company
 EnergyX is a fully verticalized deep-tech company operating the industrys first integrated platform for building energy outcomes. At its core are three tightly integrated pillars: EnergyX Intelligence, the computational and geospatial AI layer that models and optimizes building performance from design through operation; EnergyX Foundry, the industrial deep-tech layer combining advanced materials, energy-generating building envelopes, and DFMA manufacturing at scale; and EnergyX Operations, the commercial layer supporting stakeholders through management platforms, facility services, and ongoing performance optimization. With growing channels across Asia, Europe, MENA, and North America, and a sovereign-backed industrial hub in Qatar, EnergyX is scaling a model that makes sustainability a measurable and monetizable advantage for both new builds and retrofits.

Analyst-Investment & Strategy

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Arab Solutions

<div>
 
 Job Title:
 
 OAS Team Lead (Oracle Analytics Server &amp; BI delivery activities) Arabic Speaker
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced OAS Team Lead to lead the Oracle Analytics Server (OAS) delivery track, ensuring high-quality BI solutions aligned with organizational standards. The role involves managing RPD data models, overseeing dashboard and reporting development, and leading BI initiatives that enable data-driven decision-making.
 
 
 
 Key Responsibilities
 
 
 
 Lead and manage the Oracle Analytics Server (OAS) track and BI delivery activities.
 
 
 Design, develop, and maintain RPD repository models and semantic layers.
 
 
 Oversee development of dashboards, KPIs, and BI Publisher reports.
 
 
 Ensure adherence to BI architecture, governance, and development standards.
 
 
 Manage and mentor the OAS team, ensuring timely and quality deliverables.
 
 
 Collaborate with business stakeholders to gather and translate reporting requirements.
 
 
 Monitor performance, troubleshoot issues, and optimize BI solutions.
 
 
 Coordinate with data engineering and IT teams for data integration and enhancements.
 
 
 
 Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.
 
 
 7+ years of BI experience with strong expertise in Oracle Analytics Server (OAS).
 
 
 Hands-on experience with RPD modeling, dashboards, KPIs, and BI Publisher.
 
 
 Strong SQL and data modeling knowledge.
 
 
 Experience leading BI teams and enterprise reporting initiatives.
 
 
 Strong communication and stakeholder management skills.
 
 
 
 Language Requirement
 
 
 
 Arabic proficiency is required.
 
 
 English fluency required.
 
 
 Skills: sql,oracle analytics server,stakeholder,dashboards,bi publisher,bi delivery activities,bi architecture,bi solutions,rpd,data modeling
</div>

OAS Team Lead (Oracle Analytics Server & BI delivery activities) Arabic Speaker

Ariane Real Estate

<div>
 
 
 Key Responsibilities
 
 
 
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 Requirements Management:
 
 Elicit, analyze, document, and manage requirements throughout the project lifecycle using interviews, workshops, and workflow analysis.
 
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 Process Improvement:
 
 Evaluate existing business processes and systems to identify inefficiencies and propose, design, and implement improved solutions.
 
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 Stakeholder Communication:
 
 Act as a liaison between stakeholders and technology teams to ensure business needs are accurately understood and translated into functional specifications.
 
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 Documentation &amp; Reporting:
 
 Create detailed documentation, including business requirements documents (BRDs), user stories, use cases, process flows, and data flow diagrams.
 
 </li>
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 Testing &amp; Validation:
 
 Participate in User Acceptance Testing (UAT) and system testing to ensure solutions meet client needs.
 
 
 
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 </ul>
 Requirements
 
 
 
 
 Required Skills and Qualifications
 
 
 
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 Analytical Thinking:
 
 Strong problem-solving, analytical, and data interpretation skills.
 
 </li>
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 Communication:
 
 Excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders.
 
 </li>
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 Tools/Tech:
 
 Proficiency in data visualization tools (Power BI), &amp; Microsoft Office (Excel, Visio, PowerPoint).
 
 
 
 
 </li>
 </ul>
</div>

Business Analyst - Real Estate Background

Scale AI

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
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 Creating custom AI applications that will impact millions of citizens
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 Generating high-quality training data for national LLMs
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 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
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 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
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 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
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 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
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 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
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 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
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 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
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 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
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 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
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 Ideally, you have:
 
 
 
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 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
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 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
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 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
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 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
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 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
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 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
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 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

AI Applications Ops Lead, GPS

Fever

<div>
 Hey there!
 
 
 We&rsquo;re Fever, the world&rsquo;s leading tech platform for culture and live entertainment,
 
 
 Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we&rsquo;re revolutionizing the way people engage with live entertainment.
 
 
 Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
 
 
 Our results? We&rsquo;ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
 
 
 To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
 
 
 Ready to be part of the experience?
 
 
 Now, let&rsquo;s discuss this role and what you will do to help achieve Fever&rsquo;s mission.
 
 
 
 About The Team
 
 
 
 Having many products and countries, we need to make sure everything runs smoothly. As the Operations team, our goal is to help Fever grow, increasing the efficiency in our ways of working and maintaining a best-in-class experience for all our stakeholders. We love testing, launching and executing new projects, and supervise all Operations related topics, from events execution, user and partner operations to all processes and tools.
 
 
 We are looking for an Onsite Operations Specialist who loves to improve efficiency in everything and always finds the way to get things done!
 
 
 This cross-functional role will allow you to interact with numerous areas of the business, understanding their needs and ways of working and giving you the opportunity to learn about how Fever works!.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Participate in different company-wide projects focused on improving a specific area of the business.
 </li>
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 Have the opportunity to lead a project with the support of senior members of your team, ensuring it reaches the defined goals, objectives, and timelines.
 </li>
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 Lead the necessary analysis for the completion of multiple projects, identifying the best solutions in each scenario taking into account different factors such as client satisfaction, cost control and profitability
 </li>
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 Identify areas of improvement and work on the continuous improvement strategy across all areas of the business
 </li>
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 Collaborate with key stakeholders to identify project requirements, scope, and deliverables
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 You have 1-2 years of relevant experience (e.g., consulting, operations or tech related)
 </li>
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 You have a Bachelor&rsquo;s degree in Engineering, Business Administration, Data Analytics or related fields.
 </li>
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 You are fluent in English.
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 You have experience in Excel/Google Sheets, SQL, and data visualization.
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 You embrace change and you create it! We are a fast-growing company and we want you to help us to adapt to these changes.
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 You have a strong analytical and problem-solving skills, with the ability to make data-driven decisions
 </li>
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 You have excellent interpersonal and communication skills.
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Attractive compensation package and the potential to earn a significant bonus for top performance.
 </li>
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 Opportunity to have a real impact in a high-growth global category leader
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 Work in a location in the heart of Doha
 </li>
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 40% discount on all Fever events and experiences
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 Private health insurance
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 Classpass
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 Work in the heart of the city, with possible travel across our markets
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 Home office friendly
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 Responsibility from day one and professional and personal growth
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 Great work environment with a young, international team of talented people to work with!
 
 
 </li>
 </ul>
 Thank you for considering joining Fever. We cannot wait to learn more about you!
 
 
 If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch
 
 
 Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply!
 
 
 If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey.
 
 
 If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
 
 
</div>

Onsite Operations Specialist

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