data scientist

ai engineer

senior ai engineer

ai teacher

financial analyst

ai researcher

New York University Abu Dhabi

<div>
 The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics.
 
 
 
 Skills
 
 
 
 We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include:
 
 
 <ul>
 <li>
 multi-modal learning,
 </li>
 <li>
 foundation models, including large language models,
 </li>
 <li>
 agentic AI,
 </li>
 <li>
 multi-agent AI systems,
 </li>
 <li>
 transfer learning,
 </li>
 <li>
 self-supervised learning,
 </li>
 <li>
 and federated learning.
 
 
 </li>
 </ul>
 The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE.
 
 
 
 Key Responsibilities
 
 
 
 
 Research
 
 
 
 <ul>
 <li>
 Support the supervisor in developing and implementing the research agenda;
 </li>
 <li>
 Conduct high-quality and innovative research primarily focused on ML for healthcare;
 </li>
 <li>
 Design and implement experiments to compare proposed work with SOTA baselines;
 </li>
 <li>
 Publish research findings in high-impact journals and conferences;
 </li>
 <li>
 Communicate and present research findings at international academic gatherings;
 </li>
 <li>
 Create, maintain, and document high-quality research code for reproducibility;
 </li>
 <li>
 Maintain good practice in managing and accessing sensitive medical datasets;
 </li>
 <li>
 And collaborate with scientists within the NYU Global Network and in Abu Dhabi.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently has or is in the process of completing a bachelor&rsquo;s or master&rsquo;s degree from a recognized institution
 </li>
 <li>
 Bachelor&rsquo;s/ Master&rsquo;s degree in computer science, mathematics, computer engineering, or relevant technical field
 </li>
 <li>
 Demonstrable research experience involving data pre-processing and preparation for machine learning models
 </li>
 <li>
 Demonstrable research experience in conducting experiments for training and evaluating deep neural networks
 </li>
 <li>
 Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning
 </li>
 <li>
 Experience in dealing with large medical datasets (e.g., electronic health records data or medical images)
 </li>
 <li>
 Ability to use high performance computing cluster
 </li>
 <li>
 Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow)
 </li>
 <li>
 Experience in maintaining high-quality code on Github
 </li>
 <li>
 Experience in running and managing experiments using GPUs
 </li>
 <li>
 Ability to visualize experimental results and learning curves
 </li>
 <li>
 Effective inter-personal and team-building skills
 </li>
 <li>
 Self-motivated with an ability to work independently and in a team to get the work done
 </li>
 <li>
 Excellent communication skills (oral and written communication)
 </li>
 <li>
 Willingness to learn and confront new challenges
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/ Master&rsquo;s thesis conducted in the area of machine learning for healthcare and related topics
 </li>
 <li>
 First-author peer-reviewed published papers (or under review)
 </li>
 <li>
 Evidence of leadership and service activities in the academic domain
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Engineering (Electrical and Computer Engineering) - Dr. Farah Shamout

ai71

<div>
 
 About AI71:
 
 
 
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 
 
 
 The Role:
 
 
 
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
 </li>
 <li>
 AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
 </li>
 <li>
 Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
 </li>
 <li>
 Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
 
 
 </li>
 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
 </li>
 <li>
 Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
 </li>
 <li>
 Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
 </li>
 <li>
 Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
 </li>
 <li>
 Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
 </li>
 <li>
 Family Book for UAE Nationals
 </li>
 <li>
 Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
 
 
 </li>
 </ul>
 
 Why AI71:
 
 
 
 <ul>
 <li>
 
 Mission-Driven Work:
 
 Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
 </li>
 <li>
 
 Unparalleled Opportunity:
 
 This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
 </li>
 <li>
 
 Career Growth:
 
 We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
 </li>
 <li>
 
 World-Class Environment:
 
 Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
 </li>
 </ul>
</div>

Machine Learning Engineer

New York University

<div>The Social Machines and Robotics (SMART) Lab at New York University Abu Dhabi focuses on the development of socially intelligent machines (computer applications, robots, Virtual Agents) that are capable of interacting and communicating in a natural way with humans, expressing through their figure a high degree of social intelligence, with a focus on applications in education and healthcare.
The SMART Lab seeks to recruit a motivated and passionate Junior Research Scientist to work under the supervision of Dr. Hanan Salam on topics including: (i) Human-Machine Interaction, (ii) Social Robotics, (iii) Artificial Intelligence for Diagnosis and Therapy of Individuals affected by Neurodevelopmental Disorders, (iv) Bias in AI.
Key Responsibilities:
<ul><li>Design, develop, and evaluate human-centered AI systems for SMART Lab research projects.
</li><li>Support data collection and experimental pipelines involving human participants, multimodal data, or robotic platforms.
</li><li>Publish research findings in high-impact journals and conferences.
</li><li>Communicate and present research findings at international academic conferences.
</li><li>Create, maintain, and document high-quality research code for reproducibility.
</li><li>Collaborate with PhD and post-doc researchers in the lab.
</li></ul>Minimuim Qualifications:
Bachelor&rsquo;s or prefered Master&rsquo;s degree in Computer Science, Engineering, Data Science, Human-Computer Interaction, Robotics, Cognitive Science, Psychology, or a related field.
<ul><li>Strong programming skills, preferably in Python, with experience in machine learning and data analysis.
</li><li>Familiarity with one or more of the following areas: artificial intelligence, natural language processing, computer vision, multimodal learning, affective computing, human-robot interaction, social robotics, or human-centered AI.
</li><li>Experience with machine learning frameworks, data processing libraries, APIs, web development, robotics platforms, or experimental research methods is desirable.
</li><li>Excellent communication skills in English (oral and written communication)
</li><li>Willingness and capacity to work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.
</li><li>Self-motivated with an ability to work independently and in a team to get the work done.
</li><li>Willingness to learn and confront new challenges.
</li></ul>For consideration, applicants need to submit a cover letter, curriculum vitae, transcript of degree, one page summary of research accomplishments and interests, and at least two letters of reference, all in PDF format.
If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu
The appointment will be for one year, with the option to renew further depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children, together with full health insurance and retirement contributions. The UAE does not levy income tax.
About NYU Abu Dhabi
https://nyuad.nyu.edu/en/
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
Working for NYUAD
At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.
Visit our website for more information on benefits for you and your dependents.
NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
Join NYU Abu Dhabi, an exceptional place for exceptional people.
NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 @WorkAtNYUAD</div>
 <div>For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability</div>

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Hanan Salam

<div>
 The Post-doc will be supervised by Professor Samreen Malik and will be part of a research team that works on issues related to development of human capital as well as climate and sustainable development. Some of the topics of interest include how better air quality improves student's health and non-cognitive functions; sleep patterns of children and its relation to their academic achievement; whether households in low income countries adopt water saving technology to overcome water scarcity; whether cleaning air in workplaces impacts worker's productivity. Many of the projects will involve public and private partnership in the UAE and in other countries and the post-doc will be useful for the UAE based partnership, holding meetings, convincing potential partners to collaborate, and present work to the partners and academics. As part of the team, the post-doc will work full-time as co-author on Dr. Malik's projects. The post-doc will also provide Malik&rsquo;s team of researchers and faculty with Data Analytics, Data visualization, Data Management, coding &amp; development and support of research design. As part of Malik&rsquo;s team, there will be hands on experience to learn research methods, experimental designs, tools specifically applied to research in social science but more importantly the post-doc will be involved from the initial stages of project allowing an independent experience of carrying out research from start till end.
 
 
 
 Principal Accountabilities
 
 
 
 <ul>
 <li>
 Working with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis support
 </li>
 <li>
 Assist researchers with Data management including big data, data mining and database support and development
 </li>
 <li>
 Support and advise researchers on Data visualization
 </li>
 <li>
 Foster Relationships with the UAE public and private entities
 </li>
 <li>
 Support researchers with coding and algorithm development
 </li>
 <li>
 Conduct training, engagement with students for senior thesis (graduate and undergraduate level)
 
 
 </li>
 </ul>
 
 The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure.
 
 
 
 
 Required Education
 
 
 
 PhD in Economics, Engineering, Computational Science, Statistics, Computational Social Science or equivalent
 
 
 
 Required Work And Related Experience
 
 
 
 <ul>
 <li>
 Experience in understanding researcher requirements and translating those requirements into functional and dependable solutions,
 </li>
 <li>
 Experience working with data science programming languages like STATA, Python, R
 </li>
 <li>
 Experience data management and big data
 </li>
 <li>
 Experience in data visualization
 </li>
 <li>
 Experience in Machine Learning, and AI
 </li>
 <li>
 Some Professional experience working on projects in research environments
 
 
 </li>
 </ul>
 
 Preferred Work And Related Experience
 
 
 
 <ul>
 <li>
 Experience in project management of application development projects.
 </li>
 <li>
 Experience in a higher education research institution, especially developing and/or supporting research.
 
 
 </li>
 </ul>
 
 Required Competencies
 
 
 
 <ul>
 <li>
 Strong programming skills in relevant programming languages e.g. STATA, Python, R.
 </li>
 <li>
 Knowledge of scientific analysis, statistical methods and computer related research design and statistical analysis.
 </li>
 <li>
 Knowledge of visualizing research data and familiarity with data visualization tools.
 </li>
 <li>
 Knowledge of data managing including data collection, organization and cleansing
 </li>
 <li>
 Knowledge of standard statistical packages such as R, STATA etc.
 </li>
 <li>
 Knowledge of with Big data and data mining tools
 </li>
 <li>
 Ability to clearly communicate technical concepts to non-technical audience.
 </li>
 <li>
 Ability to keep up to date with technological advances.
 </li>
 <li>
 Ability to work in a team-based environment and contribute positively to it.
 </li>
 <li>
 Ability to work on own initiative and as part of a team.
 </li>
 <li>
 Ability to work with individuals at all levels and diplomatically manages their expectations.
 </li>
 <li>
 Creative problem-solving abilities and initiatives.
 </li>
 <li>
 Strong organizational skills.
 </li>
 <li>
 Strong presentation and report writing skills.
 </li>
 <li>
 Excellent communication, interpersonal and analytical skills are essential.
 </li>
 <li>
 Ability to manage conflicting priorities in an effective and professional manner.
 
 
 </li>
 </ul>
 
 Preferred Competencies
 
 
 
 <ul>
 <li>
 Knowledge of one or more software source code control systems.
 </li>
 <li>
 Ability to work on own initiative and as part of a team.
 </li>
 <li>
 CV
 </li>
 <li>
 Statement of interest in the position
 </li>
 <li>
 Transcript of degree(s)
 </li>
 <li>
 Two letters of recommendation
 
 
 </li>
 </ul>
 
 Additional Program Information
 
 
 
 UAE nationals are encouraged to apply
 
 
 This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
 
 
 Kawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.
 
 
 For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Path 2: Postdoctoral Associate – Data Analytics (Economics)

Confidential Careers

<div>
 
 
 We&rsquo;re Hiring: AI Engineer | UAE N
 
 
 
 We are looking for a passionate and hands-on
 
 AI Engineer
 
 to join our growing team and help build cutting-edge AI-powered solutions.
 
 
 
 
 
 
 About the Role
 
 
 
 As an AI Engineer, you will be responsible for
 
 designing, building, and deploying AI-driven features and applications
 
 using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on
 
 developing real-world AI products
 
 , not research or model training.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop and deploy AI-powered applications from prototype to production
 </li>
 <li>
 Integrate LLMs (GPT, Claude) into business solutions using APIs
 </li>
 <li>
 Design prompts, workflows, and AI agents to improve output quality
 </li>
 <li>
 Work with Azure AI Foundry and modern AI platforms
 </li>
 <li>
 Continuously evaluate and adopt new AI tools and technologies
 </li>
 <li>
 Collaborate with product, design, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, or related field
 </li>
 <li>
 Strong Python and software engineering skills
 </li>
 <li>
 Experience working with APIs and LLM integrations
 </li>
 <li>
 Hands-on experience with GPT, Claude, or similar models
 </li>
 <li>
 Familiarity with tools like Git and modern AI frameworks
 </li>
 <li>
 Ability to work in a fast-paced, evolving environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar frameworks
 </li>
 <li>
 Knowledge of RAG, vector databases, or Azure AI tools
 </li>
 <li>
 Exposure to open-source LLMs (Hugging Face, Ollama)
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

D4 Insight

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Build multi-agent AI workflows.</li>
<li>Develop LLM pipelines and prompt frameworks.</li>
<li>Implement AI safety, validation, and governance controls.</li>
<li>Support Azure AI integrations and orchestration layers.</li>
<li>Build scalable production AI solutions.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Python</li>
<li>LangGraph</li>
<li>Agentic AI</li>
<li>Azure AI</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Workflow Automation</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineers – Agentic AI Platform

HTC Global Services

<div>
 
 Job Description
 
 
 
 
 About the Role:
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 
 
 </li>
 </ul>
</div>

AI Engineer (Innovation)

Explore 98+ Ai researcher in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.