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cander

<div>
 
 
 Job Title:
 
 LLM Engineer
 
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Contract Duration:
 
 6 Months
 
 
 
 Start Date:
 
 Immediate / As soon as possible
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced LLM Engineer to join an innovative AI initiative within the construction and infrastructure sector. This is a hands-on role focused on designing, fine-tuning, and deploying large language models (LLMs) for real-world applications such as document interpretation, technical data extraction, and construction project automation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, train, and evaluate LLMs optimized for domain-specific use cases in the construction industry.
 </li>
 <li>
 Work across the full lifecycle: data collection, preprocessing, training, evaluation, and deployment.
 </li>
 <li>
 Develop and implement evaluation metrics to measure model accuracy, efficiency, and reliability.
 </li>
 <li>
 Fine-tune open-source foundation models using proprietary or structured data sets.
 </li>
 <li>
 Collaborate with teams to integrate models into decision-making and automation tools.
 </li>
 <li>
 Stay up-to-date with the latest model architectures, inference strategies, and efficiency techniques.
 </li>
 <li>
 Troubleshoot model issues and optimize performance on large-scale infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Data Engineering, or a related field.
 </li>
 <li>
 Proven experience building and deploying LLMs (e.g., using Hugging Face, OpenAI, Anthropic, or local inference frameworks).
 </li>
 <li>
 Strong understanding of model evaluation metrics (BLEU, F1, perplexity, ROUGE, etc.).
 </li>
 <li>
 Proficiency in Python and AI frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience in data preparation, prompt engineering, and synthetic data generation workflows.
 </li>
 <li>
 Familiarity with vector databases (Pinecone, FAISS, or Weaviate) and retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Interest or prior exposure to construction or engineering datasets is a strong plus.
 </li>
 </ul>
 
 
 
 
 
 Click Easy Apply on LinkedIn
 
 to submit your profile.
 
 
 
</div>

LLM Engineer

New York University Abu Dhabi

<div>
 The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a Research Engineer to support the design and implementation of interactive AI and data science platforms across the Center&rsquo;s research clusters.
 
 
 The successful candidate will collaborate with researchers and faculty across domains such as Foundations of Data Science, Enabling Technologies, Health, Education and Personalized Learning, and Bias, Ethics &amp; Privacy, contributing to the development of prototypes, interfaces, and software infrastructure that translate research outputs into usable tools.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain web-based and AI-powered platforms supporting CIDSAI research projects.
 </li>
 <li>
 Collaborate with faculty and postdocs on projects such as: Mathematical Collaboration Platform, Personalized Learning Systems and SmartClass AI Tutors, Health-focused conversational AI and multimodal interfaces, Bias detection and fairness-aware tools for ethical AI.
 </li>
 <li>
 Integrate machine learning models, visualization dashboards, and backend services.
 </li>
 <li>
 Contribute to data collection, testing, documentation, and dissemination of open-source resources.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Strong programming skills.
 </li>
 <li>
 Experience with machine learning frameworks and backend systems.
 </li>
 <li>
 Familiarity with cloud computing, API integration, data visualization, and database management.
 </li>
 <li>
 Ability to work in interdisciplinary research environments bridging theory, applications, and ethics.
 
 
 </li>
 </ul>
 The appointment is for two years, with the possibility of renewal. 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. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.
 
 
 Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu.
 
 
 
 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.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 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>

Research Engineer in the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) - Dr. Pierre Youssef

Radius Interior Design

We are seeking a highly skilled and motivated AI Engineer to join our innovative team. The ideal candidate is a Python expert with a passion for artificial intelligence and a proven track record of building and deploying robust, scalable applications. You will be at the forefront of developing cutting-edge AI-powered solutions, from creating intelligent chatbots to integrating sophisticated large language models (LLMs).Key Responsibilities<ul><li>Develop and Maintain APIs: Design, build, and deploy high-performance, scalable APIs using Python frameworks such as Django, Flask, or FastAPI.</li><li>AI Model Integration: Integrate and fine-tune open-source AI models from platforms like Hugging Face. You will also be responsible for integrating third-party services, including the OpenAI API, to build advanced AI applications.</li><li>Chatbot and LLM Development: Architect, build, and deploy intelligent chatbots and other applications leveraging Large Language Models (LLMs).</li><li>Deployment and DevOps: Containerize applications using Docker and deploy them on cloud platforms (e.g., AWS, GCP, Azure). You will also manage and improve our CI/CD pipelines to ensure smooth and efficient deployment cycles.</li><li>Version Control: Utilize GitHub for version control, collaboration, and code reviews, maintaining high standards for code quality and documentation.</li></ul>Qualifications and Skills<ul><li>Experience: A minimum of 2+ years of professional experience in Python development.</li><li>Python Mastery: Expert-level proficiency in Python and hands-on experience with at least one of the following web frameworks: Django, Flask, or FastAPI.</li><li>DevOps &amp; Cloud: Demonstrable experience with Docker for containerization and deploying applications on a major cloud provider (AWS, Google Cloud, Azure). Solid understanding of Git/GitHub workflows and CI/CD principles.</li><li>AI and Machine Learning: Strong familiarity with the AI landscape, including hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, etc.) and integrating LLMs.</li><li>API Integration: Proven experience integrating external APIs, specifically the OpenAI API, into applications.</li><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to work independently and as part of a team.</li></ul>If you are a forward-thinking engineer who is excited about shaping the future of AI, we encourage you to apply!Job Type: Full-timePay: AED6,000.00 - AED10,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Please confirm you have reviewed and agree with the salary range by typing 'Yes' below.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI: 2 years (Required)</li><li>Python: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Preferred)</li></ul>Work Location: In person

AI Engineer

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

ADGM

Maseera&rsquo;s AI and Big Data Center of Excellence covers the range of Data and AI skills, from Strategy, Governance, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Maseera&rsquo;s broader Strategy and professional practice, we are bringing together the unique ability to drive end-to-end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.If you&rsquo;re looking for a challenging career while working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be based in Abu Dhabi, and you&rsquo;ll be working with cutting-edge technologies, and you will have the opportunity to develop a wide range of new skills on the job.In our team you will:<ul><li>Be at the forefront of the Fintech industry, and you&rsquo;ll create, own and make it a reality for our subsidiaries looking to better serve their customers.</li><li>Become an integral part of our Data and AI team with the credibility, expertise and dependable insights.</li><li>Develop your skills with our world class training programmes.</li><li>Drive and implement real world solutions into production that drive business value across our company.</li><li>Work alongside global teams to collaborate and deliver the best solutions for our customers.</li><li>Drive your career progression via our structured career development programs.</li></ul>In this role you will:<ul><li>Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.</li><li>Understand business requirements and support the development of business cases.</li><li>Run discovery analytics to identify new and innovative opportunities.</li><li>Partner with developers and engineers to deploy machine learning algorithms to deliver business value.</li><li>Define approaches to embed and scale machine learning models.</li><li>Build reusable assets and solutions and develop best practices for current and future business problems.</li><li>Communicate and provide guidance to senior leadership and teams.</li><li>Contribute data science expertise to new enterprise activities.</li><li>Shape DS Strategy and the delivery of DS solutions.</li><li>Operate across Headquarter and multiple subsidiaries.</li><li>Develop others by bringing your unique knowledge and skill sets to the wider practice.</li></ul>We are looking for:<ul><li>B.Sc./Master/PhD in computer science, data science, AI or relevant field</li><li>Relevant work experience in data science, machine learning, and business analytics</li><li>Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred)</li><li>Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.</li><li>Experienced working with structured and also unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.</li><li>Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.</li><li>Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, hugging face, etc.</li><li>Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.</li><li>Experience of using Cloud technologies e.g. AWS, GCP or Azure.</li><li>Specialised visualisation techniques e.g. D3.js, ggplot etc.</li><li>Strong verbal/written communication &amp; data presentation skills</li><li>Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field</li></ul>Set yourself apart:<ul><li>Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation</li><li>Ability to successfully build relationships with customers and stakeholders</li><li>Mastery of problem solving and solutioning</li><li>Proven history and background in Fintech Industry</li></ul>Job Type: Full-timePay: From AED25,000.00 per month

Data Scientist

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Civil and Environmental Engineering Department at the United Arab Emirates University is seeking a full-time research assistant in structural engineering, with a focus on machine learning applications, finite element modeling, and dynamic response simulation of structures. The candidate should hold a master&rsquo;s degree in structural engineering. It is also favorable if the candidate has the qualifications to join the PhD programs at UAEU, including BSc and MSc degrees with high GPAs and an IELTS score of 6.5. Candidates holding a PhD in structural engineering with strong experience in the relevant research areas will also be considered. A robust publication record in international journals increases the likelihood of acceptance. The application package should include a detailed resume outlining qualifications, publications, and previous experience, along with the contact details of two references.
 
 
 Minimum Qualification
 
 
 The applicants must have earned BSc and MSc in Civil Engineering with specialization in Structural Engineering, and a record of publications in international journals.
 
 
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Preference will be given to candidates with strong experience and previous publications in machine learning applications, finite element modeling, and dynamic response simulations of structures
 </li>
 <li>
 Demonstrable willingness to support work in the lab
 </li>
 <li>
 Be adaptable and flexible to the continuous changes associated with research demands
 
 
 </li>
 </ul>
 Special Instructions to Applicant
 
 
 Submit a detailed CV
 
 
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 23/05/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Research Assistant (Structural Engineering)

<div>
 The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning.
 
 
 Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code.
 
 
 Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines).
 
 
 In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations.
 
 
 The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs.
 
 
 Candidates must hold a bachelor&rsquo;s degree or equivalent in Computer Science, though a master&rsquo;s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@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.
 
 
 
 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.
 
 
 UAE Nationals are encouraged to apply.
 
 
 References
 
 
 [1] http://tiramisu-compiler.org/
 
 
 
 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 Science (Computer Science) – Dr. Riyadh Baghdadi

Explore 497+ Machine learning engineer in Abu Dhabi this April. Find roles across top companies and apply now to boost your career.