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malomatia

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 To define technical approach to AI agents, orchestration frameworks, and responsible AI practices while working closely with engineering teams, product managers, and business stakeholders to bring cutting-edge AI capabilities to production.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Lead AI solutions design and implementation
 <br/>
 <br/>
 <ul>
  <li>
   Serve as the primary technical advisor on generative AI initiatives
  </li>
  <li>
   Lead proof-of-concept development and architectural decision records
  </li>
  <li>
   Mentor engineering teams on agentic AI patterns and best practices
  </li>
  <li>
   Evaluate emerging technologies and maintain technical roadmaps
  </li>
  <li>
   Design and architect AI agent systems and multi-agent workflows for enterprise use cases
  </li>
  <li>
   Evaluate and implement agent frameworks including LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google Agent-to-Agent (A2A), and emerging standard
  </li>
  <li>
   Architect tool-use patterns, function calling, MCP, and agent-to-agent communication protocols
  </li>
  <li>
   Design for agent observability, debugging, and human-in-the-loop workflows
  </li>
  <li>
   Design retrieval-augmented generation architectures and architect vector database solutions, embedding strategies, implement chunking strategies, hybrid search, and re- ranking approaches for optimal retrieval performance
  </li>
  <li>
   Design knowledge graphs and structured data integration with generative AI systems
  </li>
  <li>
   Lead architecture decisions across cloud AI platforms including Azure AI Foundry, Google Vertex AI, OpenAI APIs, and open-source Gen AI models
  </li>
  <li>
   Design prompt management, versioning, and optimization pipelines
  </li>
  <li>
   Architect for multi-model strategies, model routing, and fallback patterns
  </li>
  <li>
   Establish patterns for cost optimization, latency management, and scaling LLM workloads
  </li>
  <li>
   Define comprehensive evaluation frameworks for LLM applications and agent systems
  </li>
  <li>
   Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom evaluation harnesses
  </li>
  <li>
   Establish benchmarks for response quality, factual accuracy, task completion, and user satisfaction
  </li>
  <li>
   Champion responsible AI practices including safety, fairness, transparency, and privacy
  </li>
  <li>
   Implement guardrails, content filtering, and output validation systems
  </li>
  <li>
   Design for prompt injection prevention, data leakage protection, and secure agent execution
  </li>
  <li>
   Ensure compliance with emerging AI regulations and industry standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred. Arabic Speaker.
  </li>
  <li>
   8+ years of experience in software engineering or architecture roles
  </li>
  <li>
   3+ years of hands-on experience building LLM-powered applications in production
  </li>
  <li>
   Deep expertise in AI agent architectures, orchestration patterns, and workflow design
  </li>
  <li>
   Strong experience with at least two of the following: LangChain/LangGraph, Microsoft Semantic Kernel/Agent Framework, OpenAI Agents SDK, Google Vertex AI Agent Builder
  </li>
  <li>
   Proven experience designing and implementing Advanced RAG Systems and Agentic AI
  </li>
  <li>
   Proficiency in Python and experience with async programming patterns
  </li>
  <li>
   Hands-on experience with cloud AI platforms (Azure AI Foundry or Google Vertex AI)
  </li>
  <li>
   Strong understanding of Gen AI models&rsquo; fundamentals including prompting, fine-tuning, context windows, and token economics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience implementing Model Context Protocol (MCP), Google Agent-to-Agent (A2A) protocol, and multi-agent communication patterns
  </li>
  <li>
   Experience building AI Evals pipelines and AI quality assurance systems
  </li>
  <li>
   Knowledge of advanced RAG techniques: query decomposition, multi-hop reasoning, GraphRAG
  </li>
  <li>
   Experience with AI observability tools
  </li>
  <li>
   Background in AI safety, red-teaming, or responsible AI implementation.
   <br/>
   <br/>
  </li>
 </ul>
 Skills &amp; Competencies
 <br/>
 <br/>
 <ul>
  <li>
   Systems thinking with ability to design for complexity and emergence in agentic systems
  </li>
  <li>
   Strong communication skills to convey AI concepts to diverse audiences
  </li>
  <li>
   Pragmatic approach balancing innovation with production readiness
  </li>
  <li>
   Ability to rapidly learn evolving AI technologies
  </li>
  <li>
   Commitment to ethical AI development and user safety
  </li>
  <li>
   Collaborative mindset with ability to influence across organizational boundaries
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Malomatia
  <br/>
  <br/>
 </strong>
 <strong>
  ABOUT US
  <br/>
  <br/>
 </strong>
 malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.
 <br/>
 <br/>
 <strong>
  Our mission
  <br/>
  <br/>
 </strong>
 Empowering Qatar&rsquo;s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.
 <br/>
 <br/>
 <strong>
  Our vision
  <br/>
  <br/>
 </strong>
 To become Qatar&rsquo;s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.
 <br/>
 <br/>
 <strong>
  Driving change that makes a real impact
  <br/>
  <br/>
 </strong>
 Since 2008, malomatia has been driving Qatar&rsquo;s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation&rsquo;s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar&rsquo;s sustainable future.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.
 <br/>
 <br/>
 Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.
 <br/>
 <br/>
 Join us in shaping the future of technology in Qatar
</div>


Senior Consultant - AI Solution Architect

Scale AI

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


Machine Learning Engineer, Global Public Sector

North Oil Company Qatar

<div>
 Job description:
 <br/>
 <br/>
 <strong>
  Key Accountabilities
 </strong>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   This will be a definite term contract for 3 years.
  </strong>
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize&nbsp; capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise&nbsp; use cases (covering POC, scale-up, and production&nbsp; deployment)
  </strong>
 </p>
 <ul>
  <li>
   Evaluate, test, and design end to end data and AI architectures for enterprise and agentic use cases, covering POC, scale up, and production deployment.
  </li>
  <li>
   Architect enterprise data platforms optimized for AI, ML, and LLM integration and inference at scale.
  </li>
  <li>
   Define AI ready data architecture patterns supporting&nbsp; fine tuning, retrieval augmented generation, and prompt engineering workflows.
  </li>
  <li>
   Design hybrid architectures integrating on premises&nbsp; and cloud based LLM services with enterprise data platforms.
  </li>
  <li>
   Define reference patterns for multi model AI&nbsp; environments operating on shared and governed data.&nbsp;
  </li>
  <li>
   Design semantic layers, indexing, and similarity search for low latency AI workloads.
  </li>
  <li>
   Design enterprise knowledge graph architectures to&nbsp; support reasoning and contextual understanding.
  </li>
  <li>
   Define architectural mechanisms for data refresh,&nbsp; accuracy, relevance, and observability of retrieval performance and latency.
  </li>
  <li>
   Design multi agent architectures for cross functional workflows, including decision logic, tool usage, and&nbsp; interaction patterns for autonomous agents such as&nbsp; &nbsp;Microsoft Fabric Data Agent and Operational Agent.
  </li>
  <li>
   Design guardrails, auditability, and control mechanisms for agent actions, including feedback loops for continuous improvement.
  </li>
  <li>
   Define prompt orchestration patterns for multi-step&nbsp; reasoning aligned with NOC standards.
  </li>
  <li>
   Assess AI models, platforms, and tools using defined evaluation criteria and benchmarking, including proprietary, commercial, and open source options.
  </li>
  <li>
   Review and provide guidance on AI, ML, and advanced analytics architecture artefacts from vendors.
  </li>
 </ul>
 <strong>
  Job Purpose
 </strong>
 <p>
  Responsible for designing and advancing data solutions that strengthen NOC data architecture and evaluating the adoption of emerging technologies within DBS, with a focus on AI, machine learning, and advanced analytics. The role requires deep expertise in Data &amp; AI Architecture /Engineering, cloud platforms,&nbsp;and integration patterns, combined with strong Oil &amp; Gas domain knowledge. It aims to enhance enterprise analytics capabilities by integrating AI/ML models and large-scale data processing frameworks to enable data-driven decision-making and improve operational efficiency.&nbsp;
 </p>
 <p>
  Key Accountabilities:
 </p>
 <ul>
  <li>
   Evaluate, test, design and enable technology selection and implementation approach to improvement and optimize capabilities and data architecture (including AI &amp; ML) and design of agentic and autonomous AI solutions for enterprise use cases (covering POC, scale-up, and production deployment)
  </li>
  <li>
   Provide architectural guidance for data integration, ingestion patterns across enterprise data platforms and advanced analytics solutions in alignment with data modelling and MDM standards
  </li>
  <li>
   Design solutions in alignment with DBS best practices&nbsp; on Data and AI governance, information security controls, EA and PMO standards
  </li>
  <li>
   Review solutions and demands impacting Data Management part of Architecture Review Board (ARB)
   <br/>
   meetings
  </li>
 </ul>
 <strong>
  Key Accountabilities
 </strong>
 <p>
  <strong>
   Provide architectural guidance for data integration, ingestion patterns across enterprise data
  </strong>
  <strong>
   platforms and advanced analytics solutions in alignment with data modelling and MDM standards
  </strong>
 </p>
 <ul>
  <li>
   &nbsp;Design batch and streaming or real time ingestion and integration patterns aligned with NOC standards,&nbsp;
   <br/>
   including Integration Design Documents and design first principles.
  </li>
  <li>
   Define medallion, Kappa, and Lambda architectures as reference patterns.
  </li>
  <li>
   Maintain NOC data architecture for data platforms,&nbsp; digital use cases, demands, and data solutions.&nbsp;
  </li>
  <li>
   Document reference architectures and standard&nbsp; solution patterns for data and AI solutions, including&nbsp; IDD, HLD, LLD, dashboards and reports, model representations, data dictionaries, and data models&nbsp; such as CDM,LDM, and PDM.&nbsp;
  </li>
  <li>
   Ensure alignment of MDM principles with analytics and AI data requirements.
  </li>
  <li>
   Design data pipelines supporting continuous model training, evaluation, deployment, and retraining.
  </li>
  <li>
   Design CI and CD flows for ML models with monitoring for accuracy, latency, and cost.
  </li>
  <li>
   Design cost efficient inference and fine-tuning&nbsp; pproaches with usage tracking and controls..
  </li>
 </ul>
 <p>
  <strong>
   Design solutions in alignment with DBS best practices on Data and AI governance, information security controls, EA and PMO standards
  </strong>
 </p>
 <ul>
  <li>
   Support alignment with data and AI governance to ensure trusted and well governed data usage across&nbsp;
   <br/>
   platforms and advanced analytics.
  </li>
  <li>
   Design privacy preserving architectures for model&nbsp; training and fine tuning.
  </li>
  <li>
   Support definition of security controls and access patterns for data and AI platforms.
  </li>
 </ul>
 <p>
  <strong>
   Review solutions and demands impacting Data Management part of Architecture Review Board (ARB) meetings
  </strong>
 </p>
 <ul>
  <li>
   &nbsp;Support Architecture Review Board and Design Advisory sessions for data, AI, and ML solution reviews and approvals.
  </li>
  <li>
   Support delivery teams through architecture reviews and structured feedback on design artefacts.
  </li>
  <li>
   Identify and review reference solutions, architectures, and case studies to improve NOC architecture.
  </li>
  <li>
   Provide technical guidance to data operations, data governance, and related teams as required.
  </li>
 </ul>
 Competencies   Delegate Appropriately and Communicate Effectively Demonstrate Adaptability in Managing Complex Situations Demonstrate Learning Agility and Drive Innovation Develop Emotional Intelligence and Cultural Competence Develop Others and Institutionalise Knowledge Develop Talent for the Future NOC Sustainability Facilitate Collaboration and Sense of Community Improve Safety, Technical Proficiency and Results Lead By Example with NOC Values Set Purpose, Strategic Direction and Company Plan Strengthen Accountability and Continuous Improvement Think and Act in Stakeholder-Centric Ways
 <strong>
  Education
 </strong>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Bachelor of Computer Science or Computer Engineering or relevant degree
  </li>
  <li>
   Specialization and certification in AI, ML engineering and/or Data Science.
  </li>
 </ul>
 <strong>
  Experience
 </strong>
 <p>
  &nbsp;
 </p>
 <ul>
  <li>
   Minimum of 8 years relevant experience in technical implementation of AI solutions. Designing data architectures, developing AI models, and ensuring the technical robustness of AI systems.
  </li>
  <li>
   Experience with machine learning techniques, such as Supervised/Unsupervised Learning, Deep Learning (e.g., Neural Networks, CNNs, RNNs), Natural Language&nbsp; Processing (NLP), Computer Vision and Text Analytics
  </li>
  <li>
   Hands on Experience with data agents, operational agent and Agentic AI
  </li>
  <li>
   Proven track record of delivering successful AI /Data digital products in the industry.
  </li>
 </ul>
 <p>
  <strong>
   Job-Specific Skills (Generic / Technical):
  </strong>
 </p>
 <ul>
  <li>
   Experience in AI Ready Data platforms &amp; Data architecture and data engineering foundation, technical
   <br/>
   implementation of AI solutions. Designing data&nbsp; architectures, developing AI models, and ensuring the
   <br/>
   technical robustness of AI systems.
  </li>
  <li>
   Strong understanding of software development life cycle (SDLC) and DevOps Practices.
  </li>
  <li>
   Strong hands-on Experience in AI and ML architecture, including Agentic and autonomous AI &amp; ML Ops Life cycle includes running POC to scale up solutions&nbsp;
  </li>
  <li>
   Strong Experience of design pipelines for model&nbsp; training, evaluation, and retraining including CI/CDD
  </li>
  <li>
   Excellent problem-solving skills and attention to detail.
  </li>
  <li>
   Strong communication and teamwork abilities.
  </li>
  <li>
   Ability to work independently.
  </li>
  <li>
   Experience with agile tools and software, such as Jira, Confluence, or similar.
  </li>
  <li>
   Experience on Projects using Industry Data Platforms (such as OSDU or Cognite Date Fusion) would be a plus
  </li>
 </ul>
</div>


Data Architect

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>236397
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing Date: 2026-09-13</li></ul><br>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div></div><div><div><div><div><p><b>About the Role</b></p><p>
Responsible to lead the discovery, rapid prototyping and applied experimentation of artificial intelligence and emerging technologies that convert business ideas into working concepts, proofs of values (PoVs), minimum viable products (MVPs) and pilots. This role leads the Rapid Prototyping stream within the QRG innovation team, translating frontier technologies into tangible, value-driven outcomes for QRG. The role works closely with cross-functional teams, business owners and ecosystem partners to identify high-value use cases, build and test solutions at speed, validate their business impact, and accelerate the adoption and scale-up of the most promising innovations. The role is also responsible to continuously scan, evaluate and apply the latest advancements in AI, data and frontier technologies to drive innovation..</p><p><b>
Your duties would include:</b></p><ul><li><p>
Rapidly design, build and test prototypes, proofs of values (PoVs) and minimum viable products (MVPs) that convert business ideas and emerging technologies into working, demonstrable solutions.</p></li><li><p>
Lead hands-on development across AI, data, software and connected hardware (IoT), including sensors, edge devices and embedded systems, to validate new concepts in real operational environments.</p></li><li><p>
Collaborate with business teams to identify, frame and prioritise high-value use cases, applying valuedriven thinking to focus effort on ideas with the strongest business impact and return.</p></li><li><p>
Apply advanced AI and machine learning techniques, including generative AI, large language models, action models and enterprise assets, to create innovative, deployable data and technology products.</p></li><li><p>
Define and evaluate appropriate performance and value metrics for prototypes, iteratively enhancing solutions through rapid test-and-learn cycles to achieve the desired level of performance and business value.</p></li><li><p>
Scout, evaluate and experiment with frontier and emerging technologies (e.g., AI, IoT and connected hardware, automation, robotics, digital twins and other advanced technologies) to assess their applicability and value for QRG.</p></li><li><p>
Translate successful PoVs into production-ready solutions by collaborating with software developers, data engineers, hardware specialists and business owners to enable adoption and scale-up.</p></li><li><p>
Analyse large and complex data sets to uncover trends, patterns and insights that inform prototyping priorities and identify opportunities for business improvement.</p></li><li><p>
Communicate technical concepts, prototype outcomes and business value effectively to both technical and non-technical stakeholders, including senior leadership.</p></li><li><p>
Collaborate with cross-functional teams to manage change and embed validated AI, data and frontier technology solutions into business processes.</p></li><li><p>
Stay abreast of the latest advancements in applied AI, emerging technologies and rapid prototyping methods, applying innovative techniques to solve real-world problems.</p></li><li><p>
Ensure compliance with QRG IT Service Management (ISO 20000 framework) and Information Security Management (ISO 27001 framework) Systems and support/achieve its applicable/assigned Key Performance Indicators (KPIs).</p></li><li><p>
Manage the complete lifecycle of assigned prototyping and innovation projects to ensure they are delivered within the agreed scope, time and cost.</p></li><li><p>
Support line manager in development of long-term strategy that is aligned with business objectives.</p></li></ul><p><b>
Be part of an extraordinary story</b></p><p>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future and build the life you want while being part of an international community.</p><p>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p><p>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p>We are looking for a passionate and experienced professional to join our IT Team. The ideal candidate should possess the following:</p><ul><li><p>
Bachelor&rsquo;s Degree or Equivalent with Minimum 6 years of job-related experience</p></li></ul><p>
Essential</p><ul><li><p>
Strong hands-on prototyping and building skills, able to rapidly develop PoVs, MVPs and pilots and iterate through test-and-learn cycles</p></li><li><p>
Proficiency with applied AI and machine learning, including generative AI, large language models, transfer learning, optimization and model development.</p></li><li><p>
Proficiency in modern AI-assisted &quot;vibe coding&quot; and agentic AI development, using AI coding tools and autonomous/multi-agent frameworks to rapidly build, orchestrate and iterate working solutions.</p></li><li><p>
Strong prompt, context and loop engineering skills, designing reliable prompts, managing context, and building iterative agent loops for robust AI solutions.</p></li><li><p>
Hands-on cloud solution design and deployment across Microsoft Azure and Google Cloud Platform (GCP), including AI and data services</p></li><li><p>
Working knowledge of connected hardware and IoT, including edge computing, sensors and integration of hardware with AI and data solutions.</p></li><li><p>
Proficiency with Data Mining, Mathematics and Statistical Analysis, and sound knowledge of data profiling, data quality measurement and cleaning.</p></li><li><p>
Value-driven thinking, with the ability to identify high-value use cases, prioritise effort and articulate business impact and return on innovation.</p></li><li><p>
Excellent problem-solving skills and a passion for exploring complex data and technology challenges.</p></li><li><p>
Command of English language.</p></li><li><p>
Passionate for AI and frontier technologies, staying up to date with the latest trends and developments in the field.</p></li></ul><p>
Preferred:</p><ul><li><p>
PMP or equivalent certification in project management</p></li><li><p>
ITIL certification</p></li><li><p>
Microsoft Azure, Google GCP Certifications (e.g., Azure AI Engineer)</p></li><li><p>
Hands-on experience building and testing connected hardware / IoT solutions (e.g., sensors, edge devices, microcontrollers or embedded systems) is an advantage</p></li></ul><p><b>
About Qatar Airways Group:</b></p><p>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries and be part of a truly global community.</p><div><b>
How to Apply</b></div><div>
If you are interested in submitting your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.</div>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=236397</div></div></div></div></div></div></div></div><div></div>

Senior AI & Frontier Tech Prototype Specialist

Mindstream

<p>Mind Stream is seeking a skilled Data Scientist to join our growing team. You will play a key role in developing, productionizing, and scaling advanced AI solutions, ranging from agentic workflows to time-series forecasting models.</p><p>Responsibilities:</p><p>- Design and deploy GenAI solutions using LLMs, RAG, and vector databases.</p><p>- Build multi-agent AI applications using LangGraph, LangChain, CrewAI, and AutoGen.</p><p>- Develop and deploy time-series forecasting and anomaly detection models.</p><p>- Productionize ML models using Python, FastAPI, MLflow, Docker, and Kubernetes.</p><p>- Collaborate on cloud infrastructure for model deployment and scaling.</p><p>- Implement and maintain MLOps practices for end-to-end model lifecycle management.</p><p>Requirements:</p><p>- Strong programming skills in Python and experience with FastAPI.</p><p>- Experience with GenAI technologies, prompt engineering, and embeddings.</p><p>- Familiarity with agentic frameworks and multi-agent workflows.</p><p>- Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.</p><p>- Knowledge of cloud platforms and MLOps practices.</p><p>Experience: 6-14 years</p><p>Location: Dhahran, Saudi Arabia</p><p>Apply through Mind Stream<br/>Email Id: careers@mind-stream.net<br/>WhatsApp: +974 30107270</p><p>Pay: QAR23,000.00 - QAR27,000.00 per month</p><p>Work Location: In person</p>

Data Scientist

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 <br/>
 <br/>
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 <br/>
 <br/>
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 <br/>
 <br/>
 <strong>
  Get To Know Our Team:
  <br/>
  <br/>
 </strong>
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Senior/Staff Data Engineer in CEG (Customer Experience Group)
 </strong>
 , you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.
 <br/>
 <br/>
 You are comfortable switching between
 <strong>
  engineering work
 </strong>
 (pipelines, data models, internal services, tooling, optimization) and
 <strong>
  analytics work
 </strong>
 (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the
 <strong>
  Staff level
 </strong>
 , you will also shape CEG&rsquo;s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do:
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs.
  </li>
  <li>
   Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
  </li>
  <li>
   Ensure data quality, reliability, and observability:
  </li>
  <li>
   Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
  </li>
  <li>
   Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
  </li>
  <li>
   Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events).
  </li>
  <li>
   Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Tools &amp; Product Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
  </li>
  <li>
   Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
  </li>
  <li>
   Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
  </li>
  <li>
   Apply solid software engineering practices&mdash;testing, code reviews, CI/CD, observability&mdash;to data products so they are reliable, maintainable, and easy to extend.
  </li>
  <li>
   At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Analytics &amp; Business Impact
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
  </li>
  <li>
   Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data.
  </li>
  <li>
   Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations.
  </li>
  <li>
   Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
  </li>
  <li>
   Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder &amp; Team Collaboration
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
  </li>
  <ul>
   <li>
    Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
   </li>
   <li>
    Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
   </li>
   <li>
    Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices.
   </li>
   <li>
    Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
   </li>
   <li>
    At Staff level, influence cross‑team architecture and ways of working, making sure CEG&rsquo;s data ecosystem scales with business growth.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact).
  </li>
  <li>
   Strong SQL skills (complex joins, window functions, aggregation, query optimization).
  </li>
  <li>
   Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
  </li>
  <li>
   Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
  </li>
  <li>
   Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
  </li>
  <li>
   Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
  </li>
  <li>
   Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
  </li>
  <li>
   Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
  </li>
  <li>
   Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data).
  </li>
  <li>
   Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
  </li>
  <li>
   Experience with A/B testing, experimentation platforms, or causal analysis.
  </li>
  <li>
   Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
  </li>
  <li>
   Experience in online consumer products, travel, e‑commerce, or marketplaces.
  </li>
  <li>
   Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
  </li>
  <li>
   Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.
   <br/>
   <br/>
  </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester  #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 <br/>
 <br/>
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Agoda Careers https://careersatagoda.com
  </li>
  <li>
   Facebook https://www.facebook.com/agodacareers/
  </li>
  <li>
   LinkedIn https://www.linkedin.com/company/agoda
  </li>
  <li>
   YouTube https://www.youtube.com/agodalife
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 <br/>
 <br/>
</div>


Senior / Staff Data Engineer (BI) – CEG Team

Siemens

<div><div><b>Vertical Sales Manager- Doha, Qatar</b></div><div></div><div><br>
Here in Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds and working to improve how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That&rsquo;s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you!</div><div></div><div><br>
We are looking for Vertical Sales Manager. This position is located in Doha, Qatar</div><div></div><div><b><br>
Your responsibilities:</b></div><div><ul><li>
Develop and execute strategic sales plans to achieve and exceed annual sales targets within assigned vertical markets and territories.</li><li>
Identify, qualify, and develop new business opportunities across Electrification, Automation, Smart Infrastructure, and Digitalization segments.</li><li>
Build and maintain strong relationships with customers, consultants, developers, EPC contractors, utilities, and key stakeholders throughout the project lifecycle.</li><li>
Position Siemens as a trusted partner by promoting innovative and sustainable technology solutions that address customer challenges and business objectives.</li><li>
Conduct market analysis, monitor industry trends, assess customer needs, and identify emerging opportunities within designated sectors.</li><li>
Lead customer engagement activities, including technical presentations, solution workshops, value-based selling, contract negotiations, and commercial discussions.</li><li>
Collaborate with internal engineering, bid management, project execution, and service teams to deliver integrated and customer-focused solutions.</li><li>
Drive cross-selling and up-selling opportunities by leveraging Siemens' comprehensive portfolio of electrification, automation, software, and digital solutions.</li><li>
Maintain a healthy sales pipeline using CRM tools, ensuring accurate forecasting, opportunity tracking, risk assessment, and reporting.</li><li>
Gather and communicate competitive intelligence, market insights, and strategic developments to support business planning and growth initiatives.</li><li>
Support business planning and customer account strategies to maximize long-term revenue and customer satisfaction.</li></ul></div><div><b>
You&rsquo;ll win us over by having the following qualifications:</b></div><div><ul><li>
Bachelor's Degree in Electrical Engineering, Electronics Engineering, or a related discipline.</li><li>
Minimum 10 years of progressive experience in B2B sales, technical sales, solution selling, business development, or key account management.</li><li>
Proven experience in Electrification, Power Distribution, Protection Systems, Automation, Digitalization, Industrial, Infrastructure, Utility, Oil &amp; Gas, or related sectors.</li><li>
Strong understanding of electrical power systems, protection and control solutions, automation systems, and digital technologies.</li><li>
Demonstrated ability to develop customer relationships, influence stakeholders, and successfully close complex business opportunities.</li><li>
Excellent communication, presentation, negotiation, and relationship management skills.</li><li>
Experience using CRM platforms such as Salesforce and proficiency in Microsoft Office applications.</li><li>
Familiarity with AI-enabled sales tools for market analysis, forecasting, customer insights, opportunity management, and sales enablement.</li><li>
Experience working within a multinational and matrix organization.</li><li>
Strong commercial mindset with a customer-centric and results-driven approach.</li></ul></div><div><b>
We offer you</b></div><div><ul><li>
An inclusive and diverse workplace where everyone can thrive.</li><li>
A culture of innovation, collaboration, and continuous improvement.</li><li>
Exceptional learning, development, and career growth opportunities.</li><li>
Exposure to regional and global projects across multiple industries.</li><li>
The opportunity to contribute to sustainable and digital transformation initiatives that make a real impact on society.</li></ul></div><div><b>
Transform the everyday with us!</b></div><div></div><div><br>
If you are a motivated teammate, eager to learn new things and looking to grow your career in a strong and froward-thinking company, hit apply!. Siemens is dedicated to quality, equality, and valuing diversity, and we encourage applications that reflect the diversity of the communities within which we work. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.</div><div></div><div><br>
At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds</div><div></div><div><br>
Please note: Only complete applications can be considered in the selection process.</div></div><div></div>

Vertical Sales Manager- Doha, Qatar

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