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communication lead

ai learning experience lead

Education Above All Foundation

<div>
 <p>
  We are seeking a forward-thinking professional who brings genuine innovation to education. In this capacity, you will lead the design and development of digital learning solutions from AI-powered tools and EdTech platforms to blended models and context-ready digital content for vulnerable learners. You will also drive the integration of emerging technologies across programme&rsquo;s projects, and initiatives.
 </p>
 <p>
  Candidates with teaching experience and demonstrated expertise in educational content development will be given strong priority.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead ideation for new EdTech solutions challenge notes, concept notes, landscape scans, and rapid needs assessments in crisis settings.
  </li>
  <li>
   Embed AI, generative tools, and data analytics into learning models and digital pedagogy.
  </li>
  <li>
   Identify and pursue collaboration opportunities with EdTech partners, startups, and global tech firms.
  </li>
  <li>
   Design, review, and curate engaging digital learning materials (interactive modules, OERs, multilingual content) suitable for low-connectivity and refugee contexts.
  </li>
  <li>
   Oversee development of EdTech products: apps, platforms, VR/AR tools, offline-first solutions.
  </li>
  <li>
   Ensure all content is inclusive, accessible, and aligned with SDG4 and national curricula.
  </li>
  <li>
   Manage rollout of digital education projects with implementing partners, including partner selection and capacity building.
  </li>
  <li>
   Lead development of teacher training materials on digital pedagogy and tech integration.
  </li>
  <li>
   Co-create MEL frameworks for digital modules (learning analytics, impact measurement).
  </li>
  <li>
   Track project performance using digital data tools; generate insights and data-driven reports.
  </li>
  <li>
   Ensure compliance with ethical AI standards, data privacy, and child protection policies.
  </li>
  <li>
   Review partners&rsquo; technical reports and ensure alignment with program objectives.
  </li>
  <li>
   Support project reviews, partner engagement, and program monitoring across different projects and initiatives.
  </li>
  <li>
   Lead end-to-end delivery of EdTech and digital learning solutions (platforms, AI tools, offline content).
  </li>
  <li>
   Work closely with M&amp;E to integrate digital analytics, user trends, and learning insights into MEL.
  </li>
  <li>
   Deliver digital teacher training on tech use, digital pedagogy, and AI literacy.
  </li>
  <li>
   Provide digital analytics dashboards and data-driven insights for continuous product improvement.
  </li>
  <li>
   Ensure all digital assets meet standards for cybersecurity, accessibility, and ethical AI.
  </li>
  <li>
   Support additional assignments or strategic initiatives requested by your supervisor or EAA leadership.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience;
  </strong>
 </p>
 <p>
  <strong>
   Education:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Education, Educational Technology, Instructional Design, Learning Sciences, or a related field.
  </li>
  <li>
   Degrees in Computer Science, Information Systems, AI, Human-Computer Interaction, or Digital Media are also suitable when combined with education/EdTech experience.
  </li>
  <li>
   Additional certifications in EdTech, AI in Education, Learning Design, Project Management, or Data Analytics are an advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   Previous teaching experience will be given strong priority.
  </li>
  <li>
   Previous experience in educational content development is considered a key requirement.
  </li>
  <li>
   At least 5&ndash;7 years of growing, hands-on experience across areas like:
  </li>
 </ul>
 <p>
  #Digital education and EdTech solution design.
 </p>
 <p>
  #Instructional design and learning content development.
 </p>
 <p>
  #AI-enhanced learning tools, adaptive learning systems, or data-driven education platforms.
 </p>
 <p>
  #Managing digital education projects in development, humanitarian, or low-resource settings.
 </p>
 <p>
  #Partner management, teacher training, and rollout of digital learning solutions.
 </p>
 <p>
  #Monitoring, evaluation, and learning (MEL) for digital components.
 </p>
 <p>
  #Working with international NGOs, ministries, education clusters, or EdTech providers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Professional Skills &amp; Knowledge
  </strong>
 </p>
 <ul>
  <li>
   Strong track record designing or implementing digital education or EdTech solutions in development, emergency, or low-connectivity contexts.
  </li>
  <li>
   Experience with AI integration, adaptive learning tools, or learning analytics.
  </li>
  <li>
   Solid background in instructional design, digital content development, or e-learning product development.
  </li>
  <li>
   Experience collaborating with international NGOs, ministries of education, EdTech partners, and global stakeholders.
  </li>
  <li>
   Proven ability to manage implementing partners, field projects, teacher training, and digital solution deployment.
  </li>
  <li>
   Skilled in conducting landscape scans, needs assessments, concept development, and solution prototyping.
  </li>
  <li>
   Familiarity with data privacy standards, ethical AI, cybersecurity basics, child protection, and SDG4 frameworks.
  </li>
  <li>
   Experience working in refugee settings, emergency contexts, or low-resource environments is a strong plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Language Skills:
  </strong>
 </p>
 <ul>
  <li>
   Excellent written and verbal communication skills in English.
  </li>
  <li>
   Arabic is an added advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Application Procedure
  </strong>
 </p>
 <ul>
  <li>
   If you are interested in this opportunity, please submit your CV (in English) to: career@eaa.org.qa
  </li>
  <li>
   Please ensure your email subject line is formatted as follows: [Education and Technology Specialist] &ndash; [Your Name] &ndash; [Job Posting Source]
  </li>
  <li>
   Please note: Only shortlisted candidates will be contacted for the next stage. Identified applicants will be asked to complete an assignment and present it during the interview.
  </li>
  <li>
   If you do not hear from us, we regret that your application was not successful.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We wish you the best of luck.
 </p>
 <p>
  EAA Recruitment Team
 </p>
 <p>
 </p>
</div>


Education and Technology Specialist

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Overview:
  </strong>
 </p>
 <p>
  We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
  <strong>
  </strong>
 </p>
 <p>
  This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Strategy &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Develop and implement enterprise-wide data and AI strategies aligned with business goals.
  </li>
  <li>
   Assess organizational data &amp; AI maturity and define transformation roadmaps.
  </li>
  <li>
   Advise clients on data lifecycle management, and responsible AI adoption.
  </li>
  <li>
   Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Data Architecture &amp; Engineering
  </strong>
 </p>
 <ul>
  <li>
   Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
  </li>
  <li>
   Develop conceptual, logical, and physical data models for operational and analytical use cases.
  </li>
  <li>
   Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
  </li>
  <li>
   Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
  </li>
  <li>
   Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. AI &amp; Advanced Analytics
  </strong>
 </p>
 <ul>
  <li>
   Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
  </li>
  <li>
   Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
  </li>
  <li>
   Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
  </li>
  <li>
   Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
  </li>
  <li>
   Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Consulting, Pre-Sales &amp; Thought Leadership
  </strong>
 </p>
 <ul>
  <li>
   Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
  </li>
  <li>
   Support proposal development, client demos, and design of value-driven use cases.
  </li>
  <li>
   Contribute to thought leadership through whitepapers, blogs, and conference presentations.
  </li>
  <li>
   Mentor junior consultants and foster a culture of learning and innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 </p>
 <p>
  5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 </p>
 <p>
  Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 </p>
 <p>
  Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise (Candidates should have expertise in one or more domains)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A. Data Management
  </strong>
 </p>
 <ul>
  <li>
   Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
  </li>
  <li>
   Proficiency in SQL, Python, and Spark.
  </li>
  <li>
   Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
  </li>
  <li>
   Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   B. Data Governance &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
  </li>
  <li>
   Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
  </li>
  <li>
   Understanding of global data privacy and sovereignty laws.
  </li>
  <li>
   Ability to define data governance operating models and stewardship structures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   C. AI/ML Engineering
  </strong>
 </p>
 <ul>
  <li>
   Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
  </li>
  <li>
   Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
  </li>
  <li>
   Strong understanding of MLOps pipelines and model lifecycle automation.
  </li>
  <li>
   Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong client-facing communication and stakeholder management.
 </p>
 <p>
  Ability to translate technical insights into business outcomes.
 </p>
 <p>
  Experience in pre-sales engagements, proposals, and workshops.
 </p>
 <p>
  Leadership in mentoring teams and driving delivery excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred)
  </strong>
 </p>
 <p>
  Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 </p>
 <p>
  DAMA Certified Data Management Professional (CDMP) or equivalent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location &amp; Travel
  </strong>
 </p>
 <p>
  Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 </p>
</div>


Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

Starlink Qatar

<div>
 <p>
  📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 </p>
 <p>
  We are seeking a
  <strong>
   Senior Artificial Intelligence / Machine Learning Telecom Fraud Specialist
  </strong>
  to lead our defense against sophisticated telecom fraud. In this pivotal role, you will architect and deploy next-generation, AI-driven fraud detection frameworks to protect company revenue and maintain customer trust. You will be responsible for the entire lifecycle of AI/ML models targeting threats like SIM box, roaming, and OTT fraud. This position involves driving advanced predictive strategies, optimizing our core Fraud Management Systems (e.g., Subex, Mobileum), and mentoring a team of skilled analysts. You will collaborate closely with IT, Data, and Business teams to integrate cutting-edge technologies and ensure our fraud prevention capabilities are best-in-class. Your expertise will be crucial in assessing risks associated with new products and maintaining 24/7 system integrity. This is a strategic role focused on innovation, cost optimization, and making a significant impact on our bottom line by mitigating fraud-related losses.
 </p>
 <p>
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 </p>
 <p>
  <br/>
 </p>
 <p>
  🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 </p>
 <p>
  &rtrif; Over 10 years of experience in telecom fraud management, with expertise in diverse cases like SIM box, roaming, and OTT fraud.
 </p>
 <p>
  &rtrif; Demonstrated experience managing the full lifecycle of Artificial Intelligence / Machine Learning models, from conception and design to deployment and maintenance.
 </p>
 <p>
  &rtrif; Hands-on expertise with industry-standard Fraud Management Systems (FMS) such as Subex, Mobileum, or WeDo.
 </p>
 <p>
  &rtrif; Advanced proficiency in AI/ML programming languages and libraries, including Python, R, TensorFlow, and PyTorch.
 </p>
 <p>
  &rtrif; Strong experience with big data and cloud technologies, including Hadoop, AWS, Azure, or GCP.
 </p>
 <p>
  &rtrif; In-depth knowledge of telecom network technologies, including GSM, LTE, and 5G.
 </p>
 <p>
  &rtrif; Proven ability to develop and implement advanced fraud strategies using predictive analytics and anomaly detection.
 </p>
 <p>
  &rtrif; Exceptional leadership and interpersonal skills for mentoring teams and collaborating with cross-functional departments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 </p>
 <p>
  &rtrif; A Master's degree or Ph.D. in Computer Science, Data Science, or a related quantitative field.
 </p>
 <p>
  &rtrif; Professional certifications in AI/ML, data science, or fraud risk management (e.g., CFE).
 </p>
 <p>
  &rtrif; Experience with both Operations Support Systems (OSS) and Business Support Systems (BSS) in a telecom environment.
 </p>
 <p>
  &rtrif; Published research or speaking experience in the fields of AI, machine learning, or fraud prevention.
 </p>
 <p>
  &rtrif; Experience in a 24/7 operational environment requiring system monitoring and timely incident response.
 </p>
</div>


Senior AI/ML Telecom Fraud Specialist

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, ride-hailing, and shopping - 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 Super App that propels the region and its community through innovation and technology. We envision a global expansion 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>
  👨&zwj;💼 It's All About People:
 </strong>
 &ldquo;Be a team player; together we are stronger.&rdquo;
 <br/>
 <br/>
 <strong>
  Perks &amp; Work-life Magic At Snoonu
  <br/>
  <br/>
 </strong>
 <strong>
  🌐 Global Vibes &ndash;
 </strong>
 Collaborate with a worldwide crew.
 <br/>
 <br/>
 <strong>
  🧠 Brain Boosters &ndash;
 </strong>
 Learning budgets, access to courses, and tools for your growth.
 <br/>
 <br/>
 <strong>
  🚒 Builder&rsquo;s Playground &ndash;
 </strong>
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 <br/>
 <br/>
 🏝️
 <strong>
  Flexible Time Off &ndash;
 </strong>
 We take recharging seriously. Generous leave and wellness policies.
 <br/>
 <br/>
 <strong>
  🛠️ Agile Everything &ndash;
 </strong>
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 <br/>
 <br/>
 <strong>
  Beyond the Code: Giving Back Matters
  <br/>
  <br/>
 </strong>
 We don&rsquo;t just build app. 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>


DS&AI Lead

Imec

<div></div><div><div><div><div><div>Research &amp; development - Doha | More than two weeks ago</div><div><div>
Where AI meets semiconductor excellence...
</div></div><div></div><div><div>
</div></div></div></div></div><div><div><div><div><div><div>About imec Qatar</div>
<p>Imec Qatar is a new regional office where we drive our mission of pioneering innovative semiconductor solutions that lay the foundation for a smarter, greener, and truly AI-driven future. Specializing in advanced design tools for emerging technologies like silicon photonics and 3D integrated circuits, imec Qatar is at the forefront of chip development. And we're driving the future with intelligent solutions to optimize infrastructure, and deep-tech innovations targeting applications for a sustainable society.<br>
<br>
This is more than just a new office - it's the start of an exciting journey. With the launch of imec Qatar, you have the unique opportunity to join us from day one and help shape the future of semiconductor innovation in the region. Be part of the team from the very beginning!</p>
<p>What you will do</p>
<p>We are expanding our AI research and development activities and are looking for talented professionals to fill several key positions in the field of artificial intelligence for semiconductor and digital innovation, such as Senior Scientist, focusing on Applied AI for Semicon R&amp;D, and R&amp;D Manager AI for Digital Twinning.</p>
<p>
As part of our multidisciplinary team, you will contribute to and/or lead the research, development, and implementation of AI-driven solutions that advance semiconductor technologies and digital applications. Depending on your role and expertise, you may:</p><ul><li>
Define and drive strategic AI roadmaps across technology pillars.</li><li>
Guide teams in achieving milestones for AI-driven projects.</li><li>
Translate objectives into actionable research and development packages (e.g., AI-assisted codesign, digital twins, reinforcement learning).</li><li>
Build, mentor, and manage cross-functional teams of AI scientists, engineers, and developers.</li><li>
Establish robust pipelines for data acquisition, model training, and deployment.</li><li>
Collaborate with internal and external stakeholders to embed and leverage AI in semiconductor platforms and system architectures.</li><li>
Foster cross-disciplinary innovation and ensure AI supports next-generation technologies.</li><li>
Manage project budgets, timelines, and reporting.
</li><li>Represent the organization externally through publications, conferences, and academic engagement.</li></ul><p>
You will be part of imec, and that means&hellip;</p><p>
You will join a world-class research center in nanotechnology at our brand-new office in Doha (Qatar). You will participate in building a team that shapes technology that will determine the society of tomorrow. Imec is an inclusive employer with an open, multicultural, and informal working environment. We provide ample room for initiative and professional development.</p><p>
Who you are</p>
<p>We are seeking candidates with backgrounds such as:</p><ul><li>
Master&rsquo;s or PhD in Computer Science, Electrical/Electronic Engineering, Applied Physics, Microelectronics, or a related STEM field.</li><li>
5+ years of experience in applied research and/or development of AI applications, with leadership in areas such as reinforcement learning, Bayesian optimization, surrogate modeling, or agentic AI.</li><li>
Demonstrable experience working in and/or leading effective, multidisciplinary teams.</li><li>
Hands-on approach, contributing to the development of prototypes and proof-of-concept demonstrations.</li><li>
Strong scientific programming skills, with experience in code documentation and repository management.</li><li>
Proven leadership and project management capabilities.</li><li>
Excellent communication skills; fluency in English required.</li><li>
Familiarity or experience with R&amp;D of SoC architectures, ASICs design, or energy technologies is a plus.</li></ul><p></p><p><i><br>
IMEC and its affiliates will not accept unsolicited resumes from any source other than directly from a candidate. IMEC will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (hereafter &ldquo;Agency&rdquo;) to have been referred by the Agency free of charge. IMEC will not pay a fee to any Agency that does not have a prior written agreement with IMEC, validated by its HR department, in place regarding a specific job opening and allowing to submit resumes.</i></p></div></div></div></div></div></div><p></p>

Artificial intelligence

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Manager Data Engineering
</div></div><div><div>Ref #
</div><div>227579
</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: 17-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About Your Job:</b></p><p>
In this role, you will be responsible for leading and managing a team of data engineers to design, build and maintain scalable and secure data products for multiple business divisions within Qatar Airways. You will collaborate closely with cross-functional teams across the organization to ensure that the data products are accessible, reliable and secure. Additionally, as Manager Data Engineering, you will be expected to drive the integration of Artificial Intelligence (AI) and Generative AI technologies into data products and solutions. This includes identifying opportunities for automation and enhanced analytics through AI, overseeing the development and deployment of machine learning models, and ensuring that AI-driven solutions adhere to ethical standards and regulatory requirements.</p><p><b>
Key Responsibilities:</b></p><ul><li>Lead end-to-end delivery of Data &amp; AI projects, including data warehouse and data lake implementations, data governance, advanced analytics, and dashboarding solutions.</li><li>Provide technical leadership and guidance to the data engineering team to design, develop, optimize and maintain data products.</li><li>Collaborate with stakeholders to understand data requirements and translate them into data solutions.</li><li>Establish best practices, standards, and processes for data engineering operations.</li><li>Develop and implement a data &amp; AI strategy that aligns with the organization's overall goals.</li><li>Design, build, and maintain data pipelines, data warehouses, and data lakes on cloud.</li><li>Implement and enforce data quality standards for the data products and maintain data product SLAs.</li><li>Oversee the design, development, and deployment of AI models and data pipelines to support business operations and decision-making.</li><li>Work with data platform &amp; architecture team to secure the data and data products, optimize cloud cost.</li><li>Work with data product owners to define and prioritize data needs.</li><li>Work with data governance team to implement governance processes and standards.</li><li>Stay up to date on the latest data &amp; AI technologies and trends.</li><li>Mentor and coach data engineers on their career development.</li><li>Identify inter-dependencies between the various stakeholder groups to ensure all are aligned and risks are identified, mitigated and communicated.</li><li>Work closely with business leaders (VPs and above), in a multi-cultural environment.</li><li>Drive innovation to ensure that solutions drive value to the business.</li><li>Lead the data engineering community of practice.</li></ul><p><b>
Be part of an extraordinary story:</b><br>
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.<br>
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.<br>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Experience &amp; Knowledge:</b></p><ul><li>Bachelor&rsquo;s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).</li><li>10+ years of experience in data domain, with a mix of Data Engineering and Data Science experience, including at least 4 years in a leadership role.</li><li>Proven track record in delivering large-scale data programs, including data warehousing, data governance, AI/ML solutions, or BI/dashboarding platforms.</li><li>Hands on experience working with Google Cloud Platform and its suite of data &amp; AI services.</li><li>Strong understanding of database technologies (SQL, NoSQL, etc.), data modelling and data warehousing concepts.</li><li>Strong knowledge of data management, statistical analysis, machine learning frameworks, and AI technologies.</li><li>Strong solutioning skills, able to align business requirements with the right technical approaches and resources.</li><li>Leadership and team management skills, with the ability to guide, motivate, and develop a high-performing team</li><li>Strong understanding of data architecture and design principles.</li><li>Project management and organizational skills.</li><li>Excellent stakeholder management, communication, and leadership skills.</li><li>Knowledge of machine learning and artificial intelligence (including Generative AI)</li><li>Knowledge of data governance and compliance</li><li>Knowledge of airline domain.</li><li>Knowledge of data mesh architecture.</li><li>Knowledge of agile/lean development methodologies</li></ul><p><b>
About Qatar Airways Group:</b><br>
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.<br>
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><p><b>
How to apply:</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
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.<br>
<br>
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.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=227579</div></div></div></div></div></div></div></div>

Manager Data Engineering

The Utopia Studio

<div>
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform &mdash; combining AI-native venture building, capital, and shared infrastructure to help founders build faster and smarter. Every role here directly contributes to launching and scaling AI-native companies across the Global South, from idea to Series A.
 <br/>
 <br/>
 <strong>
  About The Studio
  <br/>
  <br/>
 </strong>
 The Studio is an AI-native venture builder for the Global South, purpose-built to transform high-barrier problems into scalable, investable companies.
 <br/>
 <br/>
 Partnering with domain experts &amp; high-agency founders from concept to Series A, it both builds new ventures and re-engineers existing ones for AI-driven growth.
 <br/>
 <br/>
 Powered by UTOPIA OS &mdash; a modular, adaptive stack tailored to each venture &mdash; it compresses the path from concept to Series A to under 24 months.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for an AI-native product engineer who can bridge engineering, product, and design. You&rsquo;ll take a domain expert&rsquo;s insight and turn it into working AI solutions that people actually want to use.
 <br/>
 <br/>
 You&rsquo;ll own the early build cycle: prototype fast, test with real users, and iterate quickly. You&rsquo;ll be building with AI, not just using it &mdash; orchestrating agents, automation, and smart workflows to create real value in days instead of months.
 <br/>
 <br/>
 This is a founding role, working directly in venture pods to shape how we build the next generation of AI companies from Doha to the Global South.
 <br/>
 <br/>
 You will operate as part of a product trio with the Design Lead and the Platform &amp; Infrastructure Engineer, aligning on user insights, prototype scope, and technical feasibility.
 <br/>
 <br/>
 <strong>
  Reports to:
 </strong>
 Studio Directors
 <br/>
 <br/>
 <strong>
  Growth path:
 </strong>
 Head of Product / CTO track
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <em>
  Rapid Prototyping &amp; Product Engineering
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Design, build, and ship end-to-end AI prototypes using modern tools (Python, FastAPI, LangChain, vector databases, Next.js, etc.)
  </li>
  <li>
   Integrate AI systems &mdash; LLMs, autonomous agents, workflow automation &mdash; to make things faster, smarter, and more useful
  </li>
  <li>
   Take messy real-world workflows and turn them into clean data models and automated processes
  </li>
  <li>
   Work directly with our Entrepreneurs-in-Residence (EIRs) to turn their pain points into working pilots
  </li>
  <li>
   Test continuously with users, gather feedback, and improve based on what actually matters
  </li>
  <li>
   Collaborate with design, growth, and product teams to build things that are both powerful and easy to use
  </li>
  <li>
   Share what you learn and build reusable components for Utopia OS so future ventures can move even faster
  </li>
  <li>
   Pair with the Design Lead for rapid user tests and with the Platform &amp; Infrastructure Engineer to harden successful prototypes into reusable Utopia OS components.
  </li>
  <li>
   Beyond core prototyping, you&rsquo;ll also contribute to early foundations in areas like AI evaluation, lightweight data pipelines, and experimentation metrics &mdash; functions that would later mature into dedicated LLMOps or DataOps tracks.
  </li>
  <li>
   You&rsquo;ll keep things pragmatic: integrating feedback loops, telemetry, and simple eval metrics into prototypes so learning compounds across ventures.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Collaboration &amp; Continuous Learning
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Partner closely with founders, engineers, and designers in multi-disciplinary pods
  </li>
  <li>
   Document prototypes and learnings to improve speed and quality across ventures
  </li>
  <li>
   Stay current with advances in AI frameworks, agent systems, and workflow automation
  </li>
  <li>
   Contribute to building the studio&rsquo;s shared prototyping frameworks, making each new venture faster than the last
  </li>
  <li>
   We operate as a compact, AI-native core team &mdash; covering product, design, and engineering end-to-end.
  </li>
  <li>
   Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Impact &amp; Success Metrics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prototypes that convert into signed pilots or letters of intent
  </li>
  <li>
   Shorter validation cycles &mdash; measurable reduction in time from idea to proof of value
  </li>
  <li>
   Reusable components and frameworks integrated into Utopia OS
  </li>
  <li>
   Founders and EIRs equipped with practical tools and repeatable prototyping processes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mindset &amp; Values
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Outcome-driven: You focus on solving problems and creating user value, not feature lists.
  </li>
  <li>
   AI as amplifier: You use AI to boost creativity and speed, not replace thinking.
  </li>
  <li>
   Cross-disciplinary: You move easily between code, UX, and product thinking, balancing speed with empathy.
  </li>
  <li>
   Continuous learner: You evolve as AI evolves, experimenting with new models, agents, and frameworks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prototypes that turn into signed pilots or letters of intent
  </li>
  <li>
   A repeatable prototyping process that works across multiple ventures
  </li>
  <li>
   Faster validation cycles &mdash; measurable reduction in the time from idea to proof of value
  </li>
  <li>
   Founders and EIRs equipped with frameworks they can actually use to build AI-native products
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in software or product engineering (startup, SaaS, or applied AI experience preferred)
  </li>
  <li>
   You've shipped AI-native products end-to-end &mdash; backend, frontend, UX, the whole thing
  </li>
  <li>
   Experience building with LLMs, embeddings, agentic frameworks, or autonomous AI systems
  </li>
  <li>
   Strong Python skills and comfortable with a modern JS framework (React, Next.js, SvelteKit, etc.)
  </li>
  <li>
   Familiarity with vector databases, semantic search, and data orchestration
  </li>
  <li>
   Collaborative mindset &mdash; you work well with non-technical founders and industry experts
  </li>
  <li>
   Pragmatic and outcome-oriented. You learn fast, adapt quickly, and ship often.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Matters
  <br/>
  <br/>
 </strong>
 This is a rare chance to help define what AI-native product engineering means &mdash; where builders use AI as a creative partner to shape, test, and evolve real ventures.
 <br/>
 <br/>
 You&rsquo;ll build actual products with industry insiders, watch your code turn into funded companies, and help shape the future of AI-driven innovation coming out of Doha.
 <br/>
 <br/>
 Your work aligns with Qatar&rsquo;s Vision 2030 to build a knowledge-based, innovation-led economy with global reach.
 <br/>
 <br/>
 <strong>
  Who This Role Isn&rsquo;t Right For
  <br/>
  <br/>
 </strong>
 If you prefer defined specs or rigid processes, this may not be the right fit.
 <br/>
 <br/>
 We move fast, experiment constantly, and expect engineers to own the product from prototype to pilot.
 <br/>
 <br/>
 <strong>
  What You Can Expect
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South.
  </li>
  <li>
   Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently.
  </li>
  <li>
   Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone.
  </li>
  <li>
   Competitive Rewards: Tax-free compensation, private health, travel insurance and flexible hybrid setup.
  </li>
  <li>
   Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high.
  </li>
  <li>
   Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams.
  </li>
  <li>
   Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Utopia Platform Advantage
  <br/>
  <br/>
 </strong>
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform designed to solve the biggest friction points in emerging market venture creation.
 <br/>
 <br/>
 Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system.
 <br/>
 <br/>
 The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS &mdash; our shared technical backbone &mdash; gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build.
 <br/>
 <br/>
 This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South.
 <br/>
 <br/>
 We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration &mdash; with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures.
 <br/>
 <br/>
 All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities. We welcome talent from every background to join us in shaping the future of AI-native innovation.
 <br/>
 <br/>
 Compensation Range: $80K - $120K
 <br/>
 <br/>
</div>


Founding Product Engineer — Rapid Prototyping

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