artificial intelligence engineer

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

Atain

<div>
 
 
 Sr. AI Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 Full-time
 
 
 
 
 Exp.:
 
 7-8+ Yrs.
 
 
 
 
 
 
 Key Skills:
 
 AI/ML, Azure, Databricks, Airlines Revenue management exp. is required
 
 
 
 
 
 
 Description:
 
 
 
 We are seeking an AI Engineer with strong experience in
 
 Azure Databricks
 
 and
 
 Airlines Revenue Management
 
 domain. The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and AI models on
 
 Azure Databricks
 
 .
 </li>
 <li>
 Work on airline revenue management use cases such as
 
 fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing
 
 .
 </li>
 <li>
 Build scalable data pipelines using Spark, Databricks, and Azure Data Services.
 </li>
 <li>
 Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.
 </li>
 <li>
 Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.
 </li>
 <li>
 Optimize model performance and ensure scalability in production environments.
 </li>
 <li>
 Integrate ML solutions with airline systems and analytics platforms.
 </li>
 <li>
 Monitor model performance and continuously improve accuracy and business impact.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5&ndash;10 years of experience in AI/ML or Data Science roles.
 </li>
 <li>
 Strong hands-on experience with
 
 Azure Databricks
 
 and Spark ecosystem.
 </li>
 <li>
 Solid experience in
 
 Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch, or similar)
 
 .
 </li>
 <li>
 Strong understanding of
 
 Airlines Revenue Management concepts
 
 (pricing, forecasting, yield management, demand optimization).
 </li>
 <li>
 Experience working with large-scale data pipelines and cloud-based data platforms (Azure preferred).
 </li>
 <li>
 Experience in building and deploying production-grade ML models.
 </li>
 </ul>
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
 
 
 
 
</div>

Acenet consulting

<div><div>Experience: 5 to 8 years
 
Location: Abu Dhabi, Bengaluru, Gurgaon, Pune
 
Job code: 101532
 
Posted on: Jun 24, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
About the Role 
We are looking for a highly motivated AI/ML Engineer with hands-on experience in designing and developing intelligent AI-driven solutions. The ideal candidate should have strong expertise in Conversational AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Python-based application development. The role requires a curious mindset, strong analytical skills, and the ability to quickly learn and adapt to emerging AI technologies.
<div>Key Responsibilities: 
<ul><li>Design, develop, and deploy AI/ML solutions for enterprise applications.</li><li>Build and optimize Conversational AI solutions using Large Language Models (LLMs).</li><li>Create, test, and refine prompts to improve AI model performance and response quality.</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging both structured and unstructured data sources.</li><li>Develop and maintain RESTful APIs to integrate AI services with business applications.</li><li>Perform web content extraction and data collection using screen-scraping/web-scraping techniques.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI solutions.</li><li>Troubleshoot, optimize, and improve existing AI models and workflows.</li><li>Stay updated with the latest advancements in AI/ML, Generative AI, and emerging technologies.</li></ul></div>
<div>Required Skills &amp; Qualifications: 
<ul><li>5&ndash;8 years of overall IT experience with at least 3&ndash;4 years of relevant experience in AI/ML development.</li><li>Strong proficiency in Python programming.</li></ul></div>
<div>Hands-on experience with: 
<ul><li>Conversational AI platforms and frameworks</li><li>Prompt Engineering / Prompt Creation</li><li>Retrieval-Augmented Generation (RAG)</li><li>Working with both structured and unstructured data sources</li><li>Experience in building and consuming REST APIs.</li><li>Experience with web page content extraction, web scraping, and screen-scraping techniques.</li><li>Strong problem-solving, debugging, and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li>Self-driven individual with strong curiosity, eagerness to learn, and a focus on delivering high-quality outcomes.</li></ul></div>
<div>Preferred Skills: 
<ul><li>Understanding of Agentic AI concepts and AI orchestration frameworks.</li><li>Exposure to multi-agent systems and workflow automation.</li><li>Experience with vector databases, embeddings, and knowledge retrieval systems.</li><li>with cloud platforms such as AWS, Azure, or Google Cloud.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Engineer

Brain Co.

<div>
 
 About Brain Co.
 
 
 
 Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far
 
 
 <ul>
 <li>
 Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
 </li>
 <li>
 Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
 </li>
 <li>
 Streamlined hospital patient care across national health systems &rarr; 40% better outcomes, 80% less admin work
 </li>
 <li>
 Raised a $30M Series A from top investors
 </li>
 <li>
 Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
 
 
 </li>
 </ul>
 At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
 
 
 
 About The Role
 
 
 
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
 </li>
 <li>
 Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
 </li>
 <li>
 Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
 </li>
 <li>
 Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
 </li>
 <li>
 Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
 </li>
 <li>
 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
 <li>
 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
 <li>
 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Can work collaboratively with cross-functional teams.
 </li>
 <li>
 Thrive in fast-paced environments where priorities or deadlines may compete.
 </li>
 <li>
 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary plus equity
 </li>
 <li>
 Daily lunches
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 401(k)
 </li>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Ship quickly, iterate constantly and see your work deployed at global scale
 </li>
 <li>
 Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
 </li>
 <li>
 Accelerate your career with ownership based on impact, not tenure
 </li>
 <li>
 Earn competitive compensation + meaningful equity in a high-growth company
 </li>
 <li>
 Thrive in a culture built on speed, curiosity, and impact
 
 
 </li>
 </ul>
 
 If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
 
 
 
 
 
 This is a hybrid role that can be based in either our Abu Dhabi or Doha office
 
 
</div>

AI/ML Engineer, Deployed

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (
 
 Chlamydotis undulata
 
 ) and Asia (
 
 Chlamydotis macqueenii
 
 ). We deliver large-scale conservation, ecological monitoring, and applied research programmes across the Middle East, North Africa, Central Asia, and beyond. The organization combines conservation breeding programmes, long-term field expertise, and multidisciplinary scientific research to support evidence-based conservation strategies.
 
 
 
 
 
 Through its activities, RENECO generates and manages large and diverse datasets spanning ecology, demography, reproductive physiology, behaviour, veterinary science, conservation genomics, climate, and environmental monitoring. This strong research and data culture supports the development of advanced statistical, data science, and artificial intelligence approaches applied to wildlife conservation and biodiversity management.
 
 
 As part of our continued growth, we are seeking a dedicated Biostatistics/Data Scientist to join our team at Reneco Wildlife Consultancy, based in Abu Dhabi.
 
 
 
 
 
 This role combines advanced analytics, machine learning, AI, and operational implementation to deliver real-world impact and support conservation, environmental monitoring, and applied research initiatives
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Deliver statistical analyses, data interpretation, and reporting to support evidence-based decision-making across conservation and research projects.
 </li>
 <li>
 Clean, structure, integrate, and manage large, complex datasets while developing reliable data pipelines.
 </li>
 <li>
 Design, develop, and implement AI and Machine Learning models to address operational and scientific challenges.
 </li>
 <li>
 Develop and deploy AI-driven applications and operational solutions, including automated monitoring systems, sensor integration, dashboards, APIs, automated reporting, and intelligent decision-support tools.
 </li>
 <li>
 Collaborate with multidisciplinary teams, researchers, and international partners to bridge scientific research with practical applications.
 </li>
 <li>
 Ensure effective follow-up and implementation of collaborative projects with universities, research institutions, and external stakeholders.
 </li>
 <li>
 Generate actionable insights by identifying patterns, trends, and anomalies within environmental, biological, and operational datasets.
 </li>
 <li>
 Support the adoption of innovative data science and artificial intelligence approaches across conservation and environmental intelligence initiatives.
 </li>
 <li>
 Contribute to capacity building, knowledge transfer, and team coordination and management.
 </li>
 <li>
 Communication of scientific findings (per review article, conferences) and supervision of students.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Professional Experience &amp; Skills:
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in Data Science, Machine Learning, and/or Artificial Intelligence (academic or industry).
 </li>
 <li>
 Proven experience developing and implementing AI/ML models on real-world datasets.
 </li>
 <li>
 Exposure to environmental, biological, ecological, or conservation-related datasets would be highly beneficial.
 </li>
 <li>
 Strong proficiency in Python and/or R for statistical analysis, machine learning, and data visualization.
 </li>
 <li>
 Strong proficiency in SQL and database management.
 </li>
 <li>
 Solid understanding of machine learning methodologies, model evaluation, and validation techniques.
 </li>
 <li>
 Ability to analyse, clean, and manage large and complex datasets.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and analytical pipeline development.
 </li>
 <li>
 Familiarity with modern AI applications, including LLMs, AI agents, computer vision, and geospatial analytics.
 </li>
 <li>
 Knowledge of cloud computing environments, MLOps practices, Docker, and model deployment frameworks is an advantage.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Fluent English is required. French and/or Arabic would be a strong advantage.
 </li>
 </ul>
 
 
</div>

Biostatistician & Data Science Specialist

AppliedAI

<div>
 
 
 AI Engineer
 
 
 
 On-site | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 
 
 Opus is the world's first
 
 Knowledge Work AI platform
 
 . Built by AppliedAI to pioneer
 
 Supervised Automation
 
 , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
 
 
 
 
 
 
 
 The platform uses its proprietary
 
 Large Work Model
 
 to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
 
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 
 
 As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 
 
 
 
 
 Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain AI inference and orchestration pipelines used in production.
 </li>
 <li>
 Optimize model-serving performance, latency, and reliability across live systems.
 </li>
 <li>
 Implement observability, logging, and monitoring for AI components.
 </li>
 <li>
 Contribute to prompt and alignment improvements to enhance response quality and consistency.
 </li>
 <li>
 Refactor existing code for modularity, clarity, and maintainability.
 </li>
 <li>
 Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
 </li>
 <li>
 Participate in design reviews, testing, and rollout of new systems and improvements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in ML or backend engineering.
 </li>
 <li>
 1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
 </li>
 <li>
 Strong Python programming skills and understanding of production ML systems.
 </li>
 <li>
 Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
 </li>
 <li>
 Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
 </li>
 <li>
 Knowledge of observability tools and performance debugging.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why join AppliedAI:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a highly innovative AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 </ul>
</div>

Etihad Airways

<div>Job Description 
Etihad Airways is seeking a high-potential UAE National to join our Corporate Finance team in a unique role that combines secured and unsecured financing, artificial intelligence, data-driven decision making, and emerging technologies.
This is not a traditional corporate finance opportunity.
For the right candidate, Etihad is willing to invest in developing traditional corporate finance and treasury knowledge, provided you bring strong analytical capability, intellectual curiosity, and a passion for emerging technologies.
We are looking for ambitious individuals who are passionate about AI, automation, analytics, digital transformation, and the future of work. Whether your background is in technology, AI, data science, analytics, innovation, engineering, digital transformation, or a related field, we are interested in candidates who can help shape the future of finance through the intelligent use of technology.
Working directly with senior leaders across Treasury, Finance, Strategy, and Technology, you will play a highly visible role supporting Etihad&rsquo;s Journey 2030 transformation agenda. This position offers exceptional exposure to executive stakeholders and provides a clear pathway toward future leadership opportunities.
Accountabilities
Strategic Finance &amp; Business Transformation<ul><li>
Support strategic projects across Corporate Finance and Financial Risk Management functions.</li><li>
Assist with financial modelling, business case development, scenario analysis, and strategic planning initiatives.</li><li>
Contribute to funding, financing, and capital allocation projects while developing expertise in aviation finance and treasury management.</li><li>
Support senior leadership with insights, presentations, and analysis to enable informed business decisions.</li></ul>
AI, Analytics &amp; Innovation<ul><li>
Identify opportunities to leverage AI, machine learning, automation, and advanced analytics across Corporate Finance and Risk Management activities.</li><li>
Support the development of intelligent reporting, forecasting, scenario modelling, and decision-support tools.</li><li>
Evaluate emerging technologies and industry trends that can improve efficiency, insight generation, and financial decision making.</li><li>
Act as a champion for innovation and continuous improvement within the Corporate Finance function.</li></ul>
Stakeholder Engagement<ul><li>
Collaborate with senior stakeholders across Finance, Technology, Data &amp; Analytics, FP&amp;A and Strategy teams.</li><li>
Build strong working relationships across the business while developing a broad understanding of airline operations and financial performance.</li><li>
Present findings, recommendations, and innovative solutions to senior leadership audiences.</li></ul>
Leadership Development<ul><li>
Participate in strategic initiatives with significant exposure to executive leadership.</li><li>
Contribute to the development of future-focused finance capabilities within the organization.</li><li>
Develop the skills, knowledge, and experience required for future leadership opportunities within Finance and the wider business.</li></ul> 

Qualifications 
Education &amp; Experience
Required<ul><li>
UAE National with Family Book.</li><li>
Bachelor&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, Engineering, Analytics, Mathematics, Business Analytics, Finance, Economics, Technology Management, or a related discipline.</li><li>
Demonstrated interest in AI, emerging technologies, automation, analytics, or digital transformation.</li><li>
Strong analytical and problem-solving capability.</li><li>
Excellent communication and stakeholder engagement skills.</li><li>
Intellectual curiosity and willingness to continuously learn.</li></ul>
Preferred<ul><li>
Formal qualifications, certifications, or postgraduate studies in Artificial Intelligence, Machine Learning, Data Science, Business Analytics, Digital Transformation, or related fields.</li><li>
MBA from a leading institution.</li><li>
Experience using AI tools, automation platforms, advanced analytics solutions, or emerging technologies in a professional environment.</li><li>
Exposure to financial services, corporate finance, consulting, technology, analytics, or innovation-focused roles.</li></ul> 

Additional Information<div></div> 
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.
To learn more visit www.etihad.com
Recruitment Fraud Alert 
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</div>

Manager Corporate Finance & AI Innovation (UAE National Applications Only)

Explore 205+ Artificial intelligence engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

205 artificial intelligence engineer jobs In Abu Dhabi

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer

AI/ML Engineer, Deployed

Biostatistician & Data Science Specialist

AI Engineer

Manager Corporate Finance & AI Innovation (UAE National Applications Only)