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ai learning experience lead

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
 <div><div><div>At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy cutting-edge technology&mdash;but to ensure it is trusted, understood, and used. We&rsquo;re building a new discipline that integrates enablement, change management, and AI fluency to support national transformation efforts.</div>
<div>
We&rsquo;re looking for a strategic and hands-on AI Learning Experience Lead to design and deliver GenAI training programs that accelerate adoption across public sector audiences. This senior IC role combines instructional design, facilitation, user-centered thinking, and AI storytelling. You&rsquo;ll build the foundation for a scalable learning system that helps demystify AI for government employees, educators, and youth.</div>
<h3 class="jobSectionHeader">
You will:</h3>
<ul><li>Design and launch a flagship AI 101 course, hosted on a selected LMS with certification and badging features.</li>
<li>Develop localized, modular GenAI learning content for key audiences&mdash;public servants, educators, youth, and executives.</li>
<li>Deliver high-impact workshops and sessions, supporting national AI initiatives.</li>
<li>Partner with internal teams to translate technical concepts into accessible, engaging formats.</li>
<li>Localize global content to align with Gulf cultural, institutional, and linguistic norms.</li>
</ul></div><h3 class="jobSectionHeader">Ideally you'd have:</h3>
<ul><li>3&ndash;5+ years in instructional design, learning experience design, or training delivery, ideally in public or government sectors.</li>
<li>Skilled in simplifying technical content&mdash;you can explain GenAI clearly in both Arabic and English.</li>
<li>Strong facilitation and communication skills; confident presenting to senior stakeholders and diverse audiences.</li>
<li>Comfortable operating in fast-paced, ambiguous environments, with a strong sense of ownership and initiative.</li>
<li>Experience with certification programs, LMS platforms, and scalable training systems.</li>
</ul><div><div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</div>
<div>
About Us:</div>
<div>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</div>
<div>
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.</div>
<div>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.</div>
<div>
We comply with the United States Department of Labor's Pay Transparency provision.</div>
<div>
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div></div>

AI Learning Experience Lead

Education Above All Foundation

<div>
 
 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.
 
 
 Candidates with teaching experience and demonstrated expertise in educational content development will be given strong priority.
 
 
 
 
 
 
 Responsibilities
 
 
 <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>
 
 
 
 
 
 Qualifications &amp; Experience;
 
 
 
 
 Education:
 
 
 <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>
 
 
 
 
 
 Experience:
 
 
 <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>
 
 #Digital education and EdTech solution design.
 
 
 #Instructional design and learning content development.
 
 
 #AI-enhanced learning tools, adaptive learning systems, or data-driven education platforms.
 
 
 #Managing digital education projects in development, humanitarian, or low-resource settings.
 
 
 #Partner management, teacher training, and rollout of digital learning solutions.
 
 
 #Monitoring, evaluation, and learning (MEL) for digital components.
 
 
 #Working with international NGOs, ministries, education clusters, or EdTech providers.
 
 
 
 
 
 
 Professional Skills &amp; Knowledge
 
 
 <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>
 
 
 
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills in English.
 </li>
 <li>
 Arabic is an added advantage.
 </li>
 </ul>
 
 
 
 
 
 Application Procedure
 
 
 <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>
 
 
 
 
 We wish you the best of luck.
 
 
 EAA Recruitment Team
 
 
 
</div>

Education and Technology Specialist

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <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>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <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>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <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>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <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>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <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>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <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>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <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>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

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

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a
 
 Senior Artificial Intelligence / Machine Learning Telecom Fraud Specialist
 
 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.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Over 10 years of experience in telecom fraud management, with expertise in diverse cases like SIM box, roaming, and OTT fraud.
 
 
 &rtrif; Demonstrated experience managing the full lifecycle of Artificial Intelligence / Machine Learning models, from conception and design to deployment and maintenance.
 
 
 &rtrif; Hands-on expertise with industry-standard Fraud Management Systems (FMS) such as Subex, Mobileum, or WeDo.
 
 
 &rtrif; Advanced proficiency in AI/ML programming languages and libraries, including Python, R, TensorFlow, and PyTorch.
 
 
 &rtrif; Strong experience with big data and cloud technologies, including Hadoop, AWS, Azure, or GCP.
 
 
 &rtrif; In-depth knowledge of telecom network technologies, including GSM, LTE, and 5G.
 
 
 &rtrif; Proven ability to develop and implement advanced fraud strategies using predictive analytics and anomaly detection.
 
 
 &rtrif; Exceptional leadership and interpersonal skills for mentoring teams and collaborating with cross-functional departments.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; A Master's degree or Ph.D. in Computer Science, Data Science, or a related quantitative field.
 
 
 &rtrif; Professional certifications in AI/ML, data science, or fraud risk management (e.g., CFE).
 
 
 &rtrif; Experience with both Operations Support Systems (OSS) and Business Support Systems (BSS) in a telecom environment.
 
 
 &rtrif; Published research or speaking experience in the fields of AI, machine learning, or fraud prevention.
 
 
 &rtrif; Experience in a 24/7 operational environment requiring system monitoring and timely incident response.
 
</div>

Senior AI/ML Telecom Fraud Specialist

COZMALABS

We are looking for an experienced AI Engineer to develop, implement, and optimize AI models and algorithms. The ideal candidate will have a strong background in machine learning, data science, and software engineering. As a remote AI Engineer, you'll work closely with cross-functional teams to design and deploy AI solutions that address complex challenges and deliver impactful results.Key Responsibilities:<ul><li>AI Model Development: Design, build, and refine machine learning models and algorithms to solve specific problems.</li><li>Data Analysis: Analyze and preprocess large datasets to extract meaningful insights and features for model training.</li><li>Collaboration: Work with product managers, data scientists, and software engineers to integrate AI solutions into products and services.</li><li>Performance Optimization: Monitor, evaluate, and improve the performance of AI models through rigorous testing and tuning.</li><li>Research &amp; Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and apply cutting-edge techniques to our projects.</li><li>Documentation: Create and maintain comprehensive documentation for models, algorithms, and workflows.</li><li>Support &amp; Maintenance: Provide ongoing support for deployed AI systems, addressing issues and implementing improvements as needed.</li></ul>Qualifications:<ul><li>Education: Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.</li><li>Experience: Proven experience in AI/ML engineering, with a strong portfolio of projects or publications.</li><li>Skills: Proficiency in programming languages such as Python, Java, or C++. Experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li>Knowledge: Solid understanding of machine learning algorithms, deep learning, natural language processing, and computer vision.</li><li>Tools: Familiarity with data manipulation tools (e.g., Pandas, NumPy) and cloud platforms (e.g., AWS, Google Cloud, Azure).</li><li>Soft Skills: Excellent problem-solving abilities, strong analytical skills, and effective communication skills. Ability to work independently and manage multiple projects in a remote environment.</li></ul>Job Type: Full-time

AI Engineer

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 ✨ Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Proven expertise in marketplaces, delivery, or logistics tech, with the ability to compound DS methods with deep domain knowledge.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 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.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 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.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Work-life Magic At Snoonu
 
 
 
 
 🌐 Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 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.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 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.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 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>
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. 
 
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!
What you will do
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.

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:<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>
You will be part of imec, and that means&hellip;
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.
Who you are
We are seeking candidates with backgrounds such as:<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> 
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.</div></div></div></div></div></div>

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