18 Deep Learning jobs in the United Arab Emirates

Job Purpose:

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.

Key Responsibilities:

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training – Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proven hands-on experience in ML model training and production deployment .
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration .
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Key Competencies:

• End-to-end ownership of ML model lifecycle.
• Strong analytical and problem-solving skills.
• Ability to bridge technical solutions with business impact.

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We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

Responsibilities AI/ML Model Development

• Build, train, and optimize machine learning models for various use cases.
• Research and integrate Large Language Models (LLMs) and agent-based AI systems.

Application/Platform Development

• Develop scalable applications or platforms to host AI/ML models.
• Implement APIs or integrations to enable seamless interaction with AI systems.

End-to-End Solution Design

• Collaborate with cross-functional teams to define product requirements and workflows.
• Ensure high-quality delivery by testing and debugging applications and models.

Problem Solving and Optimization

• Identify technical challenges and propose innovative solutions.
• Optimize performance and scalability of AI models and applications.

Exploration of Emerging Technologies

• Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
• Experiment with state-of-the-art frameworks and libraries.

Requirements Programming Skills

• Proficiency in Python and at least one other programming language (e.g., C , Java , etc.).
• Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

Experience in Application Development

• Hands-on experience in building and deploying web or desktop applications.
• Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

Machine Learning & AI Expertise

• Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
• Experience working with real-world datasets and developing models to solve practical problems.

LLM and Agentic Systems Exposure

• Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
• Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

Problem-Solving Skills

• Strong analytical and critical thinking abilities to solve complex problems efficiently.
• Ability to work independently or in a team to deliver innovative solutions under deadlines.

What You’ll Gain

• Hands-on experience in designing and deploying AI-powered products from scratch.
• Exposure to cutting-edge AI technologies and frameworks.
• Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid

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Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

Key Accountabilities

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.

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Title:
Digitalization and Artificial Intelligence Engineer
Belong, Connect, Grow, with KBR!
The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.
KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor's office for an Offshore client.
Job Title: Digitalization and Artificial Intelligence Engineer
Location: Madrid, SpainProject: LZ LTDP-1Department: Engineering / Digital TransformationReports To: Project Manager
Job Description:
Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.
Key Responsibilities:
Design & Engineering
+ Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
+ Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
+ Identify and select appropriate digital and AI technologies for implementation.
Integration & Implementation
+ Define and implement integration strategies with existing ADNOC systems such as Panorama.
+ Ensure seamless integration of various digital solutions into a common user-friendly platform.
+ Design plant facilities to accommodate selected digital and AI technologies.
Infrastructure & Compliance
+ Identify required IT infrastructure and ensure compliance with:
+ Wireless Infrastructure (AGES-SP-12-003)
+ Wireless Instrumentation System (AGES-SP-04-019)
+ Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD).
Execution & Commissioning
+ Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
+ Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.
Technology & Innovation
+ Promote adoption of edge computing and autonomous operation programs.
+ Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
+ Integrate drones and robotics as part of the digitalization scope.
Guidelines & Standards
+ Ensure adherence to ADNOC's AI P5 Guidelines and instrumentation standards:
+ Wells & Surface Facilities Instrumentation
+ Real-time Data Mapping
+ Domain Data Requirements
+ Collaborative Working Environment
+ Change Management & Communication
+ Telecommunication Infrastructure
Qualifications & Experience:
+ Bachelor's or Master's degree in Engineering, Computer Science, or related field.
+ Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
+ Proven experience in EPC project environments and multi-disciplinary coordination.
+ Strong knowledge of industrial automation, edge computing, and AI platforms.
+ Familiarity with ADNOC systems and standards is highly desirable.
Skills & Competencies:
+ Strong analytical and problem-solving skills.
+ Excellent communication and documentation abilities.
+ Project management and scheduling expertise.
+ Ability to work collaboratively across disciplines and with subcontractors.
+ Cybersecurity awareness and data governance understanding.

Title:

Digitalization and Artificial Intelligence Engineer

Belong, Connect, Grow, with KBR!

The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.

KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.

We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.

Job Title:Digitalization and Artificial Intelligence Engineer

Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager

Job Description:

Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.

Key Responsibilities:

Design & Engineering

• Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
• Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
• Identify and select appropriate digital and AI technologies for implementation.

Integration & Implementation

• Define and implement integration strategies with existing ADNOC systems such as Panorama .
• Ensure seamless integration of various digital solutions into a common user-friendly platform .
• Design plant facilities to accommodate selected digital and AI technologies.

Infrastructure & Compliance

• Identify required IT infrastructure and ensure compliance with:
  • Wireless Infrastructure (AGES-SP-12-003)
  • Wireless Instrumentation System (AGES-SP-04-019)
• Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD) .

Execution & Commissioning

• Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
• Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

Technology & Innovation

• Promote adoption of edge computing and autonomous operation programs .
• Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
• Integrate drones and robotics as part of the digitalization scope.

Guidelines & Standards

• Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
  • Wells & Surface Facilities Instrumentation
  • Real-time Data Mapping
  • Domain Data Requirements
  • Collaborative Working Environment
  • Change Management & Communication
  • Telecommunication Infrastructure

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
• Proven experience in EPC project environments and multi-disciplinary coordination.
• Strong knowledge of industrial automation, edge computing, and AI platforms.
• Familiarity with ADNOC systems and standards is highly desirable.

Skills & Competencies:

• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Project management and scheduling expertise.
• Ability to work collaboratively across disciplines and with subcontractors.
• Cybersecurity awareness and data governance understanding.

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Business Development Manager - Infrastructure AI

A high-performing enterprise sales professional responsible for driving sales ofAI Infrastructure solutions like Red Hat OpenShift, Microsoft Azure, IBM Cloud, containerized/Kubernetes-based andAI/ML solutions, targeting enterprise clients across industry verticals. This role demands a deep under standing ofcloud-native technologies,Kubernetes,AI workloads, and a consultative selling approach

Key roles and responsibilities

• Own and exceed sales targets forOpenShift,Ansible, andAI/ML solution offerings
• Identify, develop, and manage key enterprise accounts in targeted sectors (e.g., BFSI, telecom, healthcare, public sector)
• Build and manage a healthy pipeline across cloud-native modernization, AI automation, and infrastructure optimization
• Collaborate with solution architects, product teams, and partners (e.g., Red Hat, NVIDIA, IBM, AWS, Azure)
• Evangelize Red Hat’s container strategy and AI roadmap to CxO-level stakeholders
• Participate in RFPs, solution proposals, and pricing negotiations
• Leverageecosystem partners to co-sell and run joint GTM campaigns

Requirements

• 5–7 years in enterprise IT solution sales, with proven success incloud, containers, or AI
• Experience sellingRed Hat,OpenShift, or anyKubernetes-basedplatform
• Exposure toAI/ML solution sales(e.g., predictive analytics, intelligent automation, AI ops)
• Strong understanding of DevOps, CI/CD, and containerization
• Ability to engage bothtechnical and business decision-makers
• Comfortable navigating large enterprise accounts and long sales cycles
• Experience working with Red Hat or its partners (certification preferred)

KPI's

• Newlogo acquisition and strategic account penetration
• Partner-led co-sell revenue contribution

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Artificial Intelligence in Action - Open Rank Faculty

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

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Posting Date 05/Feb/2025 Expiry Date 08/Oct/2025 Job Reference Number: T09:31:33

Assistant Professor/Associate Professor in Artificial Intelligence (Visiting Faculty)

CATEGORY Faculty Members College of Computing & Informatics

College Computing & Informatics

Department Computer Science

Job Purpose

The College of Computing and Informatics atthe University of Sharjah invites qualified candidates from the academic ranksAssistant Professor / Associate Professor to apply for a faculty position in ArtificialIntelligence.

• Teach courses at the undergraduate and graduate level.
• Contribute to the research activities and initiate research projects leading to effective publications in journals with high ranking and patents
• Supervise postgraduate students' research projects and theses (Masters/PhD)
• Contribute to the development of courses and programs (both at the undergraduate and postgraduate levels) offered by the College of Computing and Informatics) and accreditation especially ABET Accreditation and CAA of UAE
• Perform all assigned administrative tasks by the program/department, college and university
• Mentor and advise students at all levels

Required Skills

• Ph.D. in the areas specified above or in closely related fields (From a reputable and internationally recognized University).
• Effective teaching experience in the above-mentioned fields or related ones at undergraduate and postgraduate levels.
• Strong record of accomplishment of research publications in refereed scholarly international journals with good impact factors.
• Experience in supervising Senior Design Projects, Master and PhD Theses/Dissertations
• Interest and experience in bridging links with industry and the community are also expected

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Assistant/Associate Professor in Computer Science/Artificial Intelligence

Reference Number: 381 Al Ain

Job Description:

• Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
• Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
• Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
• Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
• Provide timely, constructive feedback on student coursework, projects, and examinations.
• Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
• Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
• Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
• Perform any additional duties as requested by the Program Director or Dean.

General Conditions:

• 4+ years of professional experience in teaching AI-related subjects at the university level.
• Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
• Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
• Research published in reputable journals indexed in the Scopus database.
• A passion for mentoring students in research and supporting their academic and professional growth.

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