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director of learning & development

engineering supervisor

ai learning experience lead

Scale AI

<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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally you'd have:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <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, 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.
  <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>


AI Learning Experience Lead

Microsoft

<div><p>As an Account Technology Strategist focused on the Education Kindergarten to Year 12, you will have the opportunity to design and drive leading-edge technology initiatives in partnership education institutions. Your work will support your customers&rsquo; desired learning and operational outcomes while achieving Microsoft&rsquo;s strategic objectives in the education space.</p><p>
Paired with an Account Executive, and leveraging your large, multi-functional virtual team across the Microsoft product portfolio and partner ecosystem, you will build and grow your network of education technology executives. You will bring industry-relevant solutions to help schools and education departments adopt and embrace AI technologies. With a proven history of innovating technical solutions to achieve customer outcomes and account growth, this role enables you to combine your technology and education sector knowledge to accelerate your customers&rsquo; AI vision and become their trusted technology advisor.</p><p></p><div><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><div><b>
Education AI and Security Strategy Leadership</b></div><ul><li>
Document and articulate the customer&rsquo;s educational goals, technology landscape, and AI and Security strategy, aligned to student outcomes and institutional priorities.</li></ul><div><b>
Technology-Relevant Trusted Seller</b></div><ul><li>
Drive Microsoft business growth in the education sector, including partner co-sell motions and governance around cloud consumption and intent to use.</li></ul><div><b>
Technology Leadership Across Solution Areas</b></div><ul><li>
Lead AI (including data and migration) and Security conversations across education stakeholders, showcasing how they align to school and department priorities.</li></ul><div><b>
Education Industry Knowledge
</b></div><ul><li>Apply expertise in education systems, technology platforms, and policy to build AI strategies aligned to learning outcomes. Challenge assumptions with constructive dialogue about pedagogy, digital equity, and innovation.</li><li>
Apply deep or broad expertise to inform the development of the right Education Sales Kits and identify relevant education partners.</li><li>
Understand education-specific market trends, including digital inclusion, student safety, and hybrid learning, and how these influence opportunities and barriers to growth.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications</b></div><ul><li>
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 6+ years technical consulting, technical consultative selling, business consulting, practice building, or related technical/sales experience OR equivalent experience.</li><li>
Proven ability to articulate and apply these capabilities to address the unique challenges faced by Education (K&ndash;12), Public Sector and/or Nonprofit organisation through partner-led engagements</li><li>
Professional competency in Arabic</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 12+ years technical consulting, technical consultative selling, business consulting, practice building, or related technical/sales experience OR equivalent experience.</li><li>
6+ years experience in the education sector or working with public sector customers.</li><li>
6+ years experience in digital transformation, or using technology to drive customer outcomes in learning environments.</li></ul><div></div><div><br>
#CELA</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Account Technology Strategist

<div>
 As an Account Technology Strategist focused on the Education Kindergarten to Year 12, you will have the opportunity to design and drive leading-edge technology initiatives in partnership education institutions. Your work will support your customers&rsquo; desired learning and operational outcomes while achieving Microsoft&rsquo;s strategic objectives in the education space.
 <br/>
 <br/>
 Paired with an Account Executive, and leveraging your large, multi-functional virtual team across the Microsoft product portfolio and partner ecosystem, you will build and grow your network of education technology executives. You will bring industry-relevant solutions to help schools and education departments adopt and embrace AI technologies. With a proven history of innovating technical solutions to achieve customer outcomes and account growth, this role enables you to combine your technology and education sector knowledge to accelerate your customers&rsquo; AI vision and become their trusted technology advisor.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Education AI and Security Strategy Leadership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Document and articulate the customer&rsquo;s educational goals, technology landscape, and AI and Security strategy, aligned to student outcomes and institutional priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technology-Relevant Trusted Seller
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive Microsoft business growth in the education sector, including partner co-sell motions and governance around cloud consumption and intent to use.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technology Leadership Across Solution Areas
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead AI (including data and migration) and Security conversations across education stakeholders, showcasing how they align to school and department priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education Industry Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Apply expertise in education systems, technology platforms, and policy to build AI strategies aligned to learning outcomes. Challenge assumptions with constructive dialogue about pedagogy, digital equity, and innovation.
  </li>
  <li>
   Apply deep or broad expertise to inform the development of the right Education Sales Kits and identify relevant education partners.
  </li>
  <li>
   Understand education-specific market trends, including digital inclusion, student safety, and hybrid learning, and how these influence opportunities and barriers to growth.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 6+ years technical consulting, technical consultative selling, business consulting, practice building, or related technical/sales experience OR equivalent experience.
  </li>
  <li>
   Proven ability to articulate and apply these capabilities to address the unique challenges faced by Education (K&ndash;12), Public Sector and/or Nonprofit organisation through partner-led engagements
  </li>
  <li>
   Professional competency in Arabic
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Information Technology, Engineering, Business or related field AND 12+ years technical consulting, technical consultative selling, business consulting, practice building, or related technical/sales experience OR equivalent experience.
  </li>
  <li>
   6+ years experience in the education sector or working with public sector customers.
  </li>
  <li>
   6+ years experience in digital transformation, or using technology to drive customer outcomes in learning environments.
   <br/>
   <br/>
  </li>
 </ul>
 #CELA
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Quantiphi

<div>
 <p>
  <strong>
   Designation:
  </strong>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Experience level:
  </strong>
  8 to 15 years
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Required:
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of statistical modelling and popular machine learning models.
  </li>
  <li>
   Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
  </li>
  <li>
   Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
  </li>
  <li>
   Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
  </li>
  <li>
   NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
  </li>
  <li>
   Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
  </li>
  <li>
   Feature engineering, Feature selection/Feature importance, Dimensionality.
  </li>
  <li>
   Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
  </li>
  <li>
   Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
  </li>
  <li>
   Critical eye for the quality of data and strong desire to get it right.
  </li>
  <li>
   A pleasantly forceful personality and charismatic communication style.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Nice to Have:
  </strong>
 </p>
 <ul>
  <li>
   Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
  </li>
  <li>
   Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Job will require:
  </strong>
 </p>
 <ul>
  <li>
   Ability to multitask and work on multiple engagements related to different domains.
  </li>
  <li>
   Be able to pick up newer technologies in a short span of time
  </li>
  <li>
   Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
  </li>
  <li>
   Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
  </li>
  <li>
   Follow Agile standards and methodologies in all phases of the project.
  </li>
  <li>
   Ensure excellence in delivery to customers
  </li>
  <li>
   Self-driven individuals with a passion for research and development and the zest for solving what matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you?
  </strong>
 </p>
 <ul>
  <li>
   The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
  </li>
  <li>
   The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
  </li>
  <li>
   The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
  </li>
  <li>
   An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
  </li>
 </ul>
</div>


Senior Data Scientist

GE Aerospace

<div>
 <strong>
  Job Description Summary
  <br/>
  <br/>
 </strong>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
 <br/>
 <br/>
 <strong>
  Site Overview
  <br/>
  <br/>
 </strong>
 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
 <br/>
 <br/>
 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
 <br/>
 <br/>
 What You will Do
 <br/>
 <br/>
 <ul>
  <li>
   Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
  </li>
  <li>
   Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
  </li>
  <li>
   Build and present product architectures, write technical code, and demo applications to stakeholders.
  </li>
  <li>
   Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
  </li>
  <li>
   Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
  </li>
  <li>
   Use your strengths to support team members and build cross-functional relationships across the company.
  </li>
  <li>
   Work to ship solutions to production that meet business needs and drive impact.
   <br/>
   <br/>
  </li>
 </ul>
 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
  </li>
  <li>
   Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
  </li>
  <li>
   Strong academic performance in Computer Science or other STEM disciplines
  </li>
  <li>
   Experience designing AI solutions and architecting distributed data systems
  </li>
  <li>
   Proficiency in programming and debugging with Python, C#, C++, and SQL
  </li>
  <li>
   Customer-centric mindset with ability to lead design thinking workshops
  </li>
  <li>
   Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
  </li>
  <li>
   Experience building solutions using public cloud platforms such as AWS or Azure
  </li>
  <li>
   Preferred but not required: AWS and/or Azure certification
  </li>
  <li>
   No prior work experience required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Internship
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Paid Internship
  </li>
  <li>
   Travel Opportunities
  </li>
  <li>
   Real-world project ownership
  </li>
  <li>
   Mentorship from experienced engineers
  </li>
  <li>
   Opportunity for return offers
   <br/>
   <br/>
  </li>
 </ul>
 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
 <br/>
 <br/>
 <strong>
  <strong>
   <strong>
    Additional Information
    <br/>
    <br/>
   </strong>
  </strong>
 </strong>
 <strong>
  Relocation Assistance Provided:
 </strong>
 No
</div>


Artificial Intelligence Intern

Codvo.ai

<div><div><div><div>At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div><b>
About the Role</b></div><div>
We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.<br>
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.</div><div><b>
Responsibilities</b></div><div><b>
Generative AI Pipeline Development</b></div><ul><li><ul><li>Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.</li><li>Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.</li><li>Build CI/CD pipelines with integrated prompt regression testing and version control.</li><li>Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.</li><li>Monitor system performance using tools like Langfuse or Prometheus.</li></ul></li></ul><div><b>
Data and Document Ingestion</b></div><ul><li><ul><li>Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.</li><li>Apply preprocessing pipelines for text, images, and code.</li><li>Ensure data integrity, format consistency, and security across sources.</li></ul></li></ul><div><b>
AI Service Integration</b></div><ul><li><ul><li>Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).</li><li>Build internal APIs for smooth backend-AI communication.</li><li>Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.</li><li>Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.</li></ul></li></ul><div><b>
Retrieval-Augmented Generation (RAG) Pipelines</b></div><ul><li><ul><li>Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).</li><li>Design custom retrieval strategies for multi-modal or multi-source documents.</li><li>Apply post-retrieval ranking using DPO or feedback-based techniques.</li><li>Improve contextual relevance through re-ranking, chunk merging, and scoring logic.</li></ul></li></ul><div><b>
LLM Integration and Optimization</b></div><ul><li><ul><li>Manage prompt engineering, model interaction, and tuning workflows.</li><li>Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.</li><li>Optimize generation using temperature tuning, token limits, and speculative decoding.</li><li>Integrate observability and cost-monitoring into LLM workflows.</li></ul></li></ul><div><b>
Backend Services Ownership</b></div><ul><li><ul><li>Design and maintain scalable backend services supporting GenAI applications.</li><li>Implement monitoring, logging, and performance tracing.</li><li>Build RBAC (Role-Based Access Control) and multi-tenant personalization.</li><li>Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.</li></ul></li></ul><div><b>
Required Skills and Qualifications</b></div><div><b>
Education</b></div><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li></ul><div><b>
Experience</b></div><ul><li><ul><li>5+ years of experience in AI/ML engineering with end-to-end pipeline development.</li><li>Hands-on experience building and deploying LLM/RAG systems in production.</li><li>Strong experience with public cloud platforms (AWS, Azure, or GCP).</li></ul></li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><div><b>
Technical Skills</b></div><ul><li><ul><li>Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.</li><li>Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.</li><li>Experience with RESTful API development and version control using Git.</li><li>Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.</li><li>Familiarity with Docker, Kubernetes, and scalable microservice design.</li><li>Experience with observability tools like Prometheus, Grafana, or Langfuse.</li></ul></li></ul><div><b>
Generative AI Specific Skills</b></div><ul><li><ul><li>Knowledge of LLMs, VAEs, Diffusion Models, GANs.</li><li>Experience building structured + unstructured RAG pipelines.</li><li>Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.</li><li>Experience with prompt testing, caching strategies, output filtering, and fallback logic.</li><li>Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.</li></ul></li></ul><div><b>
Soft Skills</b></div><ul><li><ul><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent collaboration with cross-functional teams: product, QA, and DevOps.</li><li>Ability to work in fast-paced, agile environments and deliver production-grade solutions.</li><li>Clear communication and strong documentation practices.</li></ul></li></ul><div><b>
Preferred Qualifications</b></div><ul><li><ul><li>Experience with OCR, document parsing, and layout-aware chunking.</li><li>Hands-on with MLOps and LLMOps tools for Generative AI.</li><li>Contributions to open-source GenAI or AI infrastructure projects.</li><li>Knowledge of GenAI governance, ethical deployment, and usage controls.</li><li>Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.</li></ul></li></ul></div></div></div><p></p>

AI Lead (Doha , Qatar)

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