electrical engineer

estimation engineer

qa/qc engineer

mechanical engineer

planning engineer

machine learning engineer

Arab Monetary Fund

<div>
 
 
 Job Purpose:
 
 
 
 The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 
 
 
 
 
 Roles and Responsibilities
 
 
 Key Accountabilities
 
 <ul>
 <li>
 Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
 </li>
 <li>
 Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
 </li>
 <li>
 Continuously enhance models for performance, accuracy, and scalability
 </li>
 <li>
 Clean, transform, and manage diverse data sources using automated ETL pipelines
 </li>
 <li>
 Collaborate with IT to optimize data infrastructure for secure and efficient access
 </li>
 <li>
 Ensure data quality and alignment with organizational data architecture standards
 </li>
 <li>
 Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
 </li>
 <li>
 Apply advanced techniques such as deep learning and NLP to enhance research
 </li>
 <li>
 Monitor developments in data science and introduce relevant tools and techniques
 </li>
 <li>
 Develop dashboards and visualizations to communicate insights to policymakers
 </li>
 <li>
 Create data storytelling outputs for publications, policy discussions, and training
 </li>
 <li>
 Ensure consistent and accessible data presentation across platforms and reports
 </li>
 <li>
 Comply with data protection regulations, internal policies, and ethical AI standards
 </li>
 <li>
 Support implementation of data governance frameworks and quality standards
 </li>
 <li>
 Participate in audits and compliance reviews related to data use and access
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications and Requirements:
 
 
 
 
 
 
 
 Knowledge and Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of experience in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Machine learning
 </li>
 <li>
 Advanced analytics
 </li>
 <li>
 Preferably within economic, financial, or public policy sectors
 </li>
 <li>
 Proven ability to develop predictive models and deliver actionable insights
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Computer science
 </li>
 <li>
 Statistics
 </li>
 <li>
 Economics Or a related field
 </li>
 </ul>
 
 
 
 
 
 Certifications (Preferred):
 
 
 <ul>
 <li>
 Recognized certifications such as:
 </li>
 <li>
 Google Data Analytics
 </li>
 <li>
 IBM Data Science
 </li>
 <li>
 SAS
 </li>
 <li>
 CAP (Certified Analytics Professional)
 </li>
 </ul>
 
 
 
</div>

Data Scientist

SARIM BUILDING MATERIALS TRANDING L.L.C

SARIM BUILDING MATERIALS TRANDING L.L.C is a growing company specializing in the trading and supply of high-quality building materials across the UAE market. We are committed to innovation, operational excellence, and data-driven decision-making to support our continued growth and customer satisfaction.Position OverviewWe are looking for a highly motivated and analytical Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, building predictive models, generating business insights, and supporting strategic decision-making across sales, operations, supply chain, and customer management.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple business sources</li><li>Develop predictive models and machine learning algorithms</li><li>Create dashboards and reports for business stakeholders</li><li>Identify trends, patterns, and opportunities for business optimization</li><li>Work closely with management and operational teams to improve decision-making</li><li>Automate reporting and analytical processes</li><li>Conduct statistical analysis to support business growth strategies</li><li>Monitor KPIs and recommend data-driven improvements</li><li>Ensure data accuracy, integrity, and security</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or related field</li><li>Proven experience as a Data Scientist or Data Analyst</li><li>Strong knowledge of Python, SQL, and data visualization tools</li><li>Experience with machine learning frameworks and statistical modeling</li><li>Familiarity with Power BI, Tableau, or similar BI tools</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication and presentation abilities</li><li>Experience in trading, retail, supply chain, or construction industry is a plus</li></ul>Preferred Skills<ul><li>Knowledge of cloud platforms (AWS, Azure, or Google Cloud)</li><li>Experience with ERP and business management systems</li><li>Understanding of forecasting and inventory optimization</li></ul>What We Offer<ul><li>Competitive salary package</li><li>Professional growth opportunities</li><li>Dynamic and collaborative work environment</li><li>Opportunity to work on real business challenges with impactful data solutions</li></ul>Pay: AED23,450.00 per monthWork Location: In person

New York University Abu Dhabi

<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

MVP Application and game design L.L.C

We are looking for an Agentic AI Developer who can design, build, and optimize advanced AI systems that go beyond simple chatbot or basic RAG implementations. The ideal candidate should have hands-on experience creating multi-agent workflows, tool-using AI agents, retrieval systems, reasoning pipelines, orchestration layers, and production-ready AI architectures.This role requires someone who understands how to build complex AI systems where multiple components work together, including LLMs, vector databases, APIs, memory, tools, workflows, permissions, guardrails, and backend services. The candidate should be able to think architecturally, break down business problems into AI workflows, and design systems that are scalable, secure, reliable, and suitable for enterprise or government environments.The candidate should also have basic to intermediate knowledge of Node.js, enough to connect AI services with backend APIs, build lightweight services, integrate third-party tools, and support implementation with the engineering team.Technical RequirementsThe candidate should have hands-on experience with:<ul><li>Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers</li><li>Agent loops, planning/execution flows, task decomposition, reflection, validation, and human-in-the-loop workflows</li><li>Tool calling / function calling, structured outputs, JSON schemas, API execution, and tool safety controls</li><li>Stateful AI workflows, including state machines, graph-based orchestration, session state, and workflow persistence</li><li>Advanced RAG pipelines, including:</li><li>Chunking strategies</li><li>Embedding model selection</li><li>Hybrid search</li><li>Metadata filtering</li><li>Query rewriting</li><li>Reranking</li><li>Context compression</li><li>Retrieval evaluation</li><li>Hallucination mitigation</li><li>Memory architecture, including:</li><li>Short-term memory</li><li>Long-term memory</li><li>User-specific memory</li><li>Vector memory</li><li>Persistent knowledge stores</li><li>LLM guardrails, including:</li><li>Prompt injection protection</li><li>Permission-aware retrieval</li><li>Output validation</li><li>Policy checks</li><li>Tool execution safety</li><li>Response verification</li><li>LLM observability and evaluation, including:</li><li>Tracing</li><li>Prompt/version management</li><li>Eval datasets</li><li>Regression testing</li><li>Latency analysis</li><li>Cost monitoring</li><li>Failure analysis</li><li>Enterprise integrations, including REST APIs, databases, CRMs/ERPs, document stores, webhooks, queues, and workflow engines</li><li>Vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma, pgvector, Elasticsearch, or OpenSearch</li><li>Secure deployment architectures for private cloud, on-premise, offline, or government-secure environments</li><li>Node.js basics, including API development, async workflows, service integration, and connecting AI systems to backend applications</li></ul>Important NoteThis role is not for someone who has only built a basic chatbot or RAG over a few PDFs.We are looking for someone who can architect real agentic AI systems with:<ul><li>Agents</li><li>Tools</li><li>Memory</li><li>Retrieval</li><li>Validation</li><li>Orchestration</li><li>Security</li><li>Monitoring</li><li>Production deployment</li></ul>Work location:Abu Dhabi - in officeJob Type: Full-timePay: AED10,000.00 - AED11,000.00 per monthApplication Question(s):<ul><li>What is the difference between a basic RAG chatbot and an agentic AI system?</li><li>⁠How would you handle user permissions when the agent retrieves documents from multiple departments?</li><li>How would you evaluate and audit an agent&rsquo;s decisions, tool calls, and retrieved sources in production?</li></ul>Experience:<ul><li>AI Agent &amp; Routing Engineer: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI Systems Architect & Developer

Weatherford

<div>
 
 Job Overview
 
 
 
 
 JOB DESCRIPTION
 
 
 
 The Manufacturing Engineer is responsible for designing, developing, and implementing manufacturing processes, equipment, and systems to optimize production efficiency while maintaining cost-effective and high-quality outputs. The role supports design for manufacturability, resolves technical production challenges, and ensures smooth introduction of new processes and products using Lean Manufacturing principles.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Coordinate manufacturing launch for new or revised products
 </li>
 <li>
 Create and maintain BOMs and routings for new and existing part numbers
 </li>
 <li>
 Design and improve manufacturing processes, equipment, and systems to enhance efficiency and quality
 </li>
 <li>
 Develop, test, and justify tools, machinery, and equipment for new or improved production methods
 </li>
 <li>
 Identify and resolve production workflow issues such as bottlenecks, inefficiencies, and machine reliability
 </li>
 <li>
 Support continuous improvement initiatives using Lean Manufacturing principles
 </li>
 <li>
 Prepare facility layouts and equipment drawings using CAD software
 </li>
 <li>
 Provide technical guidance and support to manufacturing and production teams
 </li>
 <li>
 Recommend and implement improvements to processes, methods, and controls
 </li>
 <li>
 Support quoting and order management processes with technical input
 </li>
 <li>
 Develop and maintain technical procedures, reports, and documentation
 </li>
 <li>
 Participate in problem-solving activities and root cause analysis
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Knowledge of manufacturing processes, machine design, welding, and CNC machining
 </li>
 <li>
 Proficiency in AutoCAD and MS Office (Excel, Word, PowerPoint)
 </li>
 <li>
 Understanding of SPC (Statistical Process Control)
 </li>
 <li>
 Familiarity with Lean Manufacturing and continuous improvement methodologies
 </li>
 <li>
 Basic knowledge of Six Sigma principles (certification is a plus)
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Good communication and teamwork abilities
 </li>
 <li>
 Mechanically inclined with attention to detail
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 0&ndash;2 years of experience (Fresh graduates are welcome to apply)
 </li>
 <li>
 Diploma or Bachelor&rsquo;s Degree in Engineering (Mechanical, Mechatronics, Electrical, or related field)
 </li>
 <li>
 Lean Green Belt / Black Belt or Six Sigma certification is an advantage
 
 
 </li>
 </ul>
</div>

Manufacturing Engineer

Analog

<div>
 
 Overview
 
 
 
 Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.
 
 
 
 Role
 
 
 
 The Speech &amp; Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio
 </li>
 <li>
 Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications.
 </li>
 <li>
 Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of target clients&rsquo; businesses.
 </li>
 <li>
 Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences.
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in programming languages like Python, C++, or similar.
 </li>
 <li>
 Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.
 </li>
 <li>
 Experience working with large-scale datasets and distributed computing systems.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.
 </li>
 <li>
 Familiarity with techniques for multilingual or low-resource speech recognition.
 </li>
 <li>
 Background in self-supervised or unsupervised learning for speech/audio representation.
 </li>
 <li>
 Knowledge of privacy-preserving techniques in audio data processing.
 </li>
 <li>
 Experience mentoring junior researchers or managing collaborative projects.
 
 
 </li>
 </ul>
 
 What Working At Analog Offers
 
 
 
 <ul>
 <li>
 Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
 </li>
 <li>
 Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
 </li>
 <li>
 Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
 </li>
 <li>
 Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
 </li>
 </ul>
</div>

Senior Scientist - Speech and Language

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Explore 214+ Machine learning engineer in Abu Dhabi this June. Find roles across top companies and apply now to boost your career.

214 machine learning engineer jobs In Abu Dhabi

Data Scientist

Data Scientist

Junior Research Scientist in the Division of Science (Computer Science) – Dr. Riyadh Baghdadi

AI Systems Architect & Developer

Manufacturing Engineer

Senior Scientist - Speech and Language

Applied Scientist