data scientist

data architect

data engineer (ami)

data scientist (ami)

data steward

data scientist lead

Snoonu

<div>
 <strong>
  🚀 Welcome to Your Next Adventure!
  <br/>
  <br/>
 </strong>
 <strong>
  🛠 What You&rsquo;ll Get Your Hands On
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as a strategic advisor, combining technical expertise with domain knowledge to solve complex business challenges and unlock growth opportunities.
  </li>
  <li>
   Unblock team members and drive solutions under tight timelines, ensuring delivery without compromising on quality or technical standards.
  </li>
  <li>
   Build, mentor, and lead a high-performing DS&amp;AI team, fostering technical excellence, business impact, continuous learning, and professional growth.
  </li>
  <li>
   Drive innovation by researching, evaluating, and integrating cutting-edge techniques (e.g. advanced forecasting, personalization, generative AI) into production solutions.
  </li>
  <li>
   Shape and influence the organizational data strategy, defining standards and practices to maximize long-term business impact.
  </li>
  <li>
   Lead and oversee the full lifecycle of high-impact DS&amp;AI projects, from scoping and design to production deployment, ensuring measurable outcomes for the business.
  </li>
  <li>
   Define and communicate the technical vision for the DS&amp;AI team, ensuring alignment of solutions with company strategy and stakeholder priorities.
  </li>
  <li>
   Safeguard project quality by setting technical best practices, reviewing designs, and providing strategic technical guidance across initiatives.
  </li>
  <li>
   Guide experimentation and model validation through advanced methodologies (A/B testing, switchbacks, Bayesian approaches), ensuring results translate into business KPIs.
  </li>
  <li>
   Oversee deployment, monitoring, and scaling of ML and GenAI systems, ensuring performance, governance, and sustainability at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  🧙&zwj;&male;️ The Magic You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MSc in Data Science, Big Data, AI, Statistics, or a related field.
  </li>
  <li>
   5+ years of experience in data science, machine learning, or statistical modeling, with at least 1 year in a leadership role.
  </li>
  <li>
   Advanced expertise in statistical modeling, experimental design, and specialized ML/DL domains (e.g. recommendation systems, time series, NLP, AI agents).
  </li>
  <li>
   Proven track record of leading end-to-end, high-impact projects from problem framing to deployment, with ownership of business metrics and measurable value delivery.
  </li>
  <li>
   Strong leadership and stakeholder management skills, with the ability to define technical direction and align it with strategic business priorities.
  </li>
  <li>
   Demonstrated ability to grow and mentor teams, set high technical standards, and ensure long-term quality and sustainability of DS &amp; AI products.
  </li>
  <li>
   Proven success in leading teams through the design, deployment, and scaling of ML/DL models in production, with strategy-setting for real-time, low-latency, and streaming environments.
  </li>
  <li>
   Experience defining strategy and leading cross-functional teams to build, deploy, and scale LLM-based applications.
  </li>
  <li>
   Deep expertise in SQL, with the ability to architect, debug, and optimize highly complex queries and pipelines for large-scale data environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ✨ Bonus Points If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven expertise in marketplaces, delivery, or logistics tech, with the ability to compound DS methods with deep domain knowledge.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Inside Snoonu&rsquo;s Universe
  <br/>
  <br/>
 </strong>
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 <br/>
 <br/>
 <strong>
  The Dream We&rsquo;re Chasing
  <br/>
  <br/>
 </strong>
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 <br/>
 <br/>
 <strong>
  The Quest We&rsquo;re On
  <br/>
  <br/>
 </strong>
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 <br/>
 <br/>
 <strong>
  Our Everyday Superpowers
  <br/>
  <br/>
 </strong>
 <strong>
  Be Customer Obsessed
 </strong>
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 <br/>
 <br/>
 <strong>
  Act with Integrity:
 </strong>
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 <br/>
 <br/>
 <strong>
  Be Curious and Creative:
 </strong>
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 <br/>
 <br/>
 <strong>
  Lead by Example and Take Ownership:
 </strong>
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 <br/>
 <br/>
 <strong>
  Work Smart and Deliver Results
 </strong>
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 <br/>
 <br/>
 <strong>
  It's All About People:
 </strong>
 &ldquo;Be a team player; together we are stronger.&rdquo;
 <br/>
 <br/>
 <strong>
  Real Builders Ship:
 </strong>
 &ldquo;We turn ideas into products, plans into action, and challenges into opportunities.&rdquo;
 <br/>
 <br/>
 <strong>
  Perks &amp; Worklife Magic At Snoonu
  <br/>
  <br/>
 </strong>
 <strong>
  🌐 Global Vibes
 </strong>
 &ndash; Collaborate with a worldwide crew.
 <br/>
 <br/>
 <strong>
  🧠 Brain Boosters
 </strong>
 &ndash; Learning budgets, access to courses, and tools for your growth.
 <br/>
 <br/>
 🚒
 <strong>
  Builder&rsquo;s Playground
 </strong>
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 <br/>
 <br/>
 🏝️
 <strong>
  Flexible Time Off
 </strong>
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 <br/>
 <br/>
 🛠️
 <strong>
  Agile Everything
 </strong>
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 <br/>
 <br/>
 <strong>
  Great Place to Work&reg; Certified
  <br/>
  <br/>
 </strong>
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 <br/>
 <br/>
 <strong>
  Certified for Excellence
  <br/>
  <br/>
 </strong>
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 <br/>
 <br/>
 <strong>
  Beyond the Code: Giving Back Matters
  <br/>
  <br/>
 </strong>
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 <br/>
 <br/>
 <strong>
  Diversity Isn&rsquo;t Just a Buzzword
  <br/>
  <br/>
 </strong>
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 <br/>
 <br/>
 <strong>
  Let&rsquo;s Build the Future Together
  <br/>
  <br/>
 </strong>
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 <br/>
 <br/>
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>


Data Scientist Lead

Ericsson

<div>
 <strong>
  About This Opportunity
  <br/>
  <br/>
 </strong>
 Lead the growth of AI business opportunities across EMEA by acting as Customer Solution Responsible (CSR), Business Development Lead, and BOS AI Program Single Point of Contact (SPOC). Drive customer engagement, solution development, AI portfolio positioning, opportunity conversion, and AI adoption initiatives across the Market Area.
 <br/>
 <br/>
 The role is accountable for complex, multi-country AI opportunities, thought leadership in the AI sales domain, and for coaching and enabling teams across Customer Units (CUs).
 <br/>
 <br/>
 <strong>
  What you will do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify, qualify, and develop AI opportunities across telecom customers in EMEA
  </li>
  <li>
   Lead customer discussions, workshops, and executive engagements to position Ericsson AI solutions
  </li>
  <li>
   Lead RFQ/RFP responses, proposal development, solution descriptions, business cases, and internal governance approvals for complex AI deals
  </li>
  <li>
   Build strategic relationships with Customer Units, CTO/CIO/CDO organizations, operations and network leadership, and other key stakeholders
  </li>
  <li>
   Own end-to-end solutioning for AI opportunities from early engagement through contract signature
  </li>
  <li>
   Translate customer business challenges and objectives into clear AI use cases and value propositions
  </li>
  <li>
   Define high-level architecture, scope, and delivery model in collaboration with Solution Architects, Service Delivery, and Product/Portfolio teams
  </li>
  <li>
   Secure alignment across commercial, solution, and fulfilment streams
  </li>
  <li>
   Ensure smooth handover to delivery and operations teams, securing continuity from sales to execution
  </li>
  <li>
   Champion Ericsson AI portfolio and drive internal awareness and enablement on AI offerings across EMEA
  </li>
  <li>
   Act as a subject matter expert on AI solutions for internal and external forums, contributing to thought leadership and best practices
  </li>
  <li>
   Coordinate AI opportunity funnel reporting, forecasting, and performance tracking across CUs
  </li>
  <li>
   Drive customer AI adoption programs, including onboarding, change management, and definition of success metrics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You will bring:
  <br/>
  <br/>
 </strong>
 <strong>
  Must-have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/ML, data analytics, or automation solutions in telecom
  </li>
  <li>
   Several years of experience in telecom / ICT sales, pre-sales, or solution consulting, ideally in an operator or vendor environment
  </li>
  <li>
   Proven track record in selling complex technology solutions (preferably AI, analytics, automation, or software) to C-level and senior stakeholders
  </li>
  <li>
   Strong understanding of telecom network and operations domains (RAN, Core, Transport, IT/OSS/BSS, CX/Service Operations)
  </li>
  <li>
   Strong experience working in Presales or equivalent complex opportunity set-up
  </li>
  <li>
   Demonstrated ability to build business cases, pricing structures, and value-based proposals.
  </li>
  <li>
   Demonstrated ability to lead multi-disciplinary teams through complex sales cycles at regional level
  </li>
  <li>
   Negotiation and influence capabilities, managing trade-offs and risk in complex deals
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with Ericsson portfolio, including Ericsson Operations Engine, Cognitive Software, Analytics solutions, and Managed Services
  </li>
  <li>
   Experience working across multiple countries or Market Areas, with multicultural teams and customers
  </li>
  <li>
   Exposure to cloud, data platforms, and modern software delivery models (for example, SaaS, managed services)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Trave
 </strong>
 l: Willingness to travel across EMEA for customer meetings, workshops, and internal events, as required by key opportunities.
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 :
 <strong>
  This position can be hired within the EMEA region, where Ericsson has an office
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Why join Ericsson?
 </strong>
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 <br/>
 <br/>
 <strong>
  What happens once you apply?
 </strong>
 Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 <br/>
 <br/>
 <strong>
  Primary country and city:
 </strong>
 France (FR) || Massy
 <br/>
 <br/>
 <strong>
  Req ID:
 </strong>
 789659
</div>


Lead AI Technical Solution Sales Support

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

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

Acciona- Qatar

<p>The <strong>Lead Process Improvement Engineer – Facility Management</strong> is responsible for driving continuous improvement, operational excellence, quality assurance and cost optimisation across Facility Management operations.</p><p>The role works closely with operational, technical and commercial teams to assess actual service delivery, identify performance and cost gaps, improve processes and ensure consistent compliance with contractual requirements, internal standards and industry best practices.</p><p>This is a highly <strong>field-driven and analytical role</strong>, requiring regular engagement with operational sites, clients and internal stakeholders across both Hard and Soft FM Services.</p><h2>Key Responsibilities</h2><h3>Operational Excellence &amp; Site Performance</h3><ul><li>Conduct regular site visits and operational assessments to evaluate actual service delivery and performance.</li><li>Identify gaps between reported performance and actual site conditions.</li><li>Review Hard and Soft FM service delivery and recommend practical improvements.</li><li>Identify operational risks and support site teams in implementing effective corrective measures.</li><li>Challenge existing working practices where required and promote greater consistency across FM contracts.</li><li>Support the standardisation of processes, procedures and operational best practices across sites.</li></ul><h3>Process Improvement &amp; Continuous Improvement</h3><ul><li>Lead continuous improvement and process optimisation initiatives across FM operations.</li><li>Analyse existing workflows and identify opportunities to improve efficiency, productivity, quality and cost.</li><li>Develop and implement improved processes in coordination with operational and functional teams.</li><li>Lead Root Cause Analysis (RCA) for recurring operational failures and service issues.</li><li>Ensure corrective and preventive actions are implemented and monitored through to closure.</li><li>Apply Lean, Six Sigma, TQM and other recognised process improvement methodologies where appropriate.</li></ul><h3>Quality Assurance, Audits &amp; Compliance</h3><ul><li>Conduct structured operational, quality and performance audits across FM contracts.</li><li>Identify non-conformances and areas for improvement.</li><li>Develop, monitor and close corrective action plans.</li><li>Ensure operational activities comply with contractual requirements, internal procedures and relevant industry standards.</li><li>Support implementation and maintenance of applicable ISO management systems and FM best practices.</li></ul><h3>SLA, KPI &amp; Performance Management</h3><ul><li>Review and optimise SLA and KPI frameworks in line with contractual requirements.</li><li>Analyse operational performance and identify trends, recurring issues and areas requiring management intervention.</li><li>Develop dashboards, reports and performance presentations.</li><li>Translate operational data into clear and actionable recommendations for management and site teams.</li><li>Support continuous improvement of service quality and client satisfaction.</li></ul><h3>Commercial &amp; Cost Optimisation</h3><ul><li>Support budgeting, estimation and pricing activities from an operational and technical perspective.</li><li>Review existing cost structures, resource assumptions and estimation methodologies.</li><li>Identify inefficiencies, cost leakage, overestimation and opportunities for optimisation.</li><li>Recommend cost-effective operational solutions without compromising service quality or contractual compliance.</li><li>Support alignment between commercial assumptions and actual operational requirements.</li><li>Contribute to cost reduction and efficiency initiatives across both live contracts and new bids/tenders.</li></ul><h3>Client &amp; Stakeholder Engagement</h3><ul><li>Engage with clients and key stakeholders to understand operational concerns and service expectations.</li><li>Support proactive resolution of service delivery issues.</li><li>Work closely with Operations, Technical, Commercial, Estimation, QHSE and other functional teams.</li><li>Promote a culture of continuous improvement, accountability and operational excellence across FM operations.</li></ul><h3>ESG &amp; Sustainability</h3><ul><li>Support sustainability and ESG initiatives across FM contracts.</li><li>Identify opportunities for improved energy efficiency, waste management and environmental performance.</li><li>Support compliance with environmental and sustainability requirements.</li><li>Contribute to relevant ESG, energy and sustainability reporting.</li></ul><h2>Qualifications &amp; Experience</h2><h3>Education</h3><p>Bachelor’s Degree in one of the following or a related discipline:</p><ul><li>Mechanical Engineering</li><li>Electrical Engineering</li><li>Industrial Engineering</li><li>Environmental Engineering</li><li>Building Services Engineering</li><li>Facilities/Asset Management Engineering</li></ul><h3>Experience</h3><ul><li>Minimum <strong>8–10 years of relevant experience within Facility Management</strong>.</li><li>Strong experience in process improvement, operational excellence and/or Total Quality Management (TQM).</li><li>Demonstrable experience working directly with FM site operations.</li><li>Strong understanding of both <strong>Hard and Soft FM Services</strong>.</li><li>Experience conducting operational audits, quality assessments and performance reviews.</li><li>Experience managing SLA/KPI frameworks and corrective action processes.</li><li>Exposure to estimation, budgeting, resource optimisation and operational cost analysis is highly desirable.</li></ul><h2>Certifications</h2><ul><li><strong>Lean Six Sigma Black Belt – highly preferred/required</strong></li><li>Strong Lean Six Sigma Green Belt candidates with demonstrable process improvement experience may be considered.</li><li>ISO 9001 Internal Auditor certification preferred.</li><li>Recognised Facility Management certification is advantageous.</li></ul><h2>Technical Knowledge</h2><p>Candidates should demonstrate good working knowledge of:</p><ul><li>Hard Services / MEP maintenance</li><li>Soft Services operations</li><li>Asset and maintenance management</li><li>Cleaning standards and best practices</li><li>Waste management and environmental practices</li><li>Quality Management Systems</li><li>Root Cause Analysis</li><li>SLA and KPI development</li><li>Process mapping and optimisation</li><li>Cost and resource optimisation</li><li>CAFM/CMMS environments</li></ul><p>Knowledge of relevant international standards is advantageous, including:</p><ul><li>ISO 9001 – Quality Management</li><li>ISO 14001 – Environmental Management</li><li>ISO 41001 – Facility Management</li><li>ISO 45001 – Occupational Health &amp; Safety</li><li>ISO 50001 – Energy Management</li></ul><h2>Systems &amp; Tools</h2><p>Strong proficiency in:</p><ul><li>Microsoft Excel</li><li>Microsoft PowerPoint</li><li>Microsoft Word</li></ul><p>Experience with some of the following is advantageous:</p><ul><li>Power BI or similar data visualisation tools</li><li>Microsoft Visio or equivalent process mapping tools</li><li>CAFM/CMMS platforms</li><li>MS Project</li><li>Primavera P6</li><li>Monday.com</li><li>Asana</li><li>Jira</li><li>Trello</li><li>Root Cause Analysis tools including 5 Whys and Fishbone Analysis</li></ul><h2>Key Competencies</h2><p>The successful candidate should be:</p><ul><li>Highly proactive and comfortable working independently</li><li>Field-driven with a strong understanding of actual site operations</li><li>Analytical and data-driven</li><li>Commercially aware and cost-conscious</li><li>Confident challenging existing processes and operational practices</li><li>Strong in problem-solving and Root Cause Analysis</li><li>Capable of influencing operational teams and stakeholders</li><li>Focused on measurable and sustainable improvement</li><li>Able to manage multiple contracts, priorities and improvement initiatives simultaneously</li><li>Strong in reporting, presentation and stakeholder communication</li></ul><p>The role requires an individual who can combine <strong>technical FM knowledge, process improvement expertise and commercial awareness</strong> to deliver measurable improvements in service quality, efficiency, compliance and cost performance.</p>

Lead Process Improvement Engineer – Facility Management

Dallah Holding Media

<h2>Operations Coordinator</h2><p>We are currently seeking a reliable and proactive Operations Coordinator to support daily administrative and coordination activities within the department.</p><p> </p><h2>Key Responsibilities</h2><ul><li>Provide day-to-day administrative support to the department.</li><li>Assist in preparing, reviewing, and maintaining corporate documentation and records.</li><li>Support basic finance-related processes, including LPOs, invoices, tracking, and filing.</li><li>Review and submit proposals.</li><li>Lead company official communications.</li><li>Ensure timely submission of documents and adherence to internal procedures.</li><li>Support reporting and data tracking as required.</li><li>Liaise with internal teams and external stakeholders when needed.</li><li>Assist the department in meeting deadlines in a fast-paced environment.</li><li>Provide general coordination and team support as assigned.</li></ul><p> </p><h2>Requirements</h2><ul><li>Previous related experience in an administrative or support role.</li><li>Excellent communication skills, both written and verbal.</li><li>Basic understanding of corporate procedures, finance, procurement, and documentation processes.</li><li>Experience in tender participation and proposal submission is a strong advantage.</li><li>Result-oriented with strong attention to detail.</li><li>Quick learner with the ability to adapt to new systems and processes.</li><li>Reliable and responsible.</li><li>Strong team player with a collaborative mindset.</li><li>Able to work under timelines, pressure, and in a fast-moving environment.</li><li>Pleasant and professional personality.</li></ul>

Operations Coordinator

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

Explore 25+ Data scientist lead in Doha this August. Find roles across top companies and apply now to boost your career.