139 AI Evangelist jobs in the United Arab Emirates

About this role

This is an exciting opportunity for a skilled AI/ML Engineer to join our team. As a key member of the team, you will be empowered to shape your career in the way you'd like.

• Develop and optimize machine learning models by tailoring architecture and hyperparameters to meet specific project requirements.
• Design, implement, and maintain automated machine learning pipelines that streamline data ingestion, preprocessing, model training, evaluation, and deployment.
• Apply state-of-the-art methodologies to optimize the accuracy and efficacy of machine learning solutions.
• Collaborate with security and cloud teams to ensure all AI/ML models are integrated with confidential computing environments.
• Partner with business analysts, data scientists, engineers, and stakeholders to translate business objectives into actionable AI/ML solutions.

Your Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a closely related field.
• Proven experience in configuring, fine-tuning, and deploying machine learning models.
• Strong proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-Learn, Keras, and XGBoost.
• Hands-on experience with building and managing end-to-end AML pipelines using tools like Azure ML, MLflow, Kubeflow, or similar.
• Expertise in hyperparameter optimization, cross-validation, and model selection for maximizing accuracy.
• Solid understanding of security principles, especially in confidential computing, data encryption, and federated learning.
• Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data and model issues.

Why You Should Consider This Opportunity:

Growing businesses while building a more sustainable, more inclusive future requires innovative thinking and collaboration. When you join us, you'll become part of a diverse collective of free-thinkers, entrepreneurs, and industry experts who seek out opportunities to transform the world's leading businesses.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

Are you actively seeking a new job role? Well, you are at the right place! We’re looking for a skilled Machine Learning Expert to join our team and enhance our AI-driven information systems. The ideal candidate will develop intelligent models that optimize database queries and improve our robotics dialogue flow, enabling natural voice-based interactions between users and our robot. This role involves working with large datasets, implementing AI-powered solutions, and collaborating with cross-functional teams to bring cutting-edge machine learning innovations into our systems.

• Design, develop, and optimize machine learning models for database query automation and voice-based interactions.
• Enhance the robotic dialogue flow by implementing NLP (Natural Language Processing) models for seamless user communication.
• Work with SQL and NoSQL databases to improve query efficiency and response time using AI-driven approaches.
• Develop speech recognition and text-to-speech models to facilitate natural voice interactions.
• Implement predictive analytics and recommendation systems to enhance user experience.
• Collaborate with software engineers, data scientists, and robotics experts to integrate AI models into existing systems.
• Train and fine-tune deep learning and reinforcement learning models for adaptive conversation flows.
• Monitor model performance, troubleshoot issues, and continuously refine algorithms.

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
• Experience with NLP frameworks such as spaCy, NLTK, or OpenAI GPT models.
• Knowledge of speech recognition technologies like DeepSpeech or Google Speech-to-Text API.
• Experience with database management and AI-driven query optimization.
• Familiarity with robotics frameworks such as ROS (Robot Operating System) is a plus.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication abilities.

• Experience in deploying AI models to production using Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
• Hands-on experience with LLMs (Large Language Models) for advanced dialogue generation.
• Understanding of edge AI for deploying models on embedded systems or robotics hardware.

We are a group of professionals aiming to create a positive impact that makes a difference in mobility solutions. We are focused on developing unique solutions that fit the needs of customers across the industry verticals.

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master's or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Join to apply for the Machine Learning Engineer role at Helios Towers .

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Direct message the job poster from Helios Towers.

French Language Expert and Senior Talent Acquisition Manager

Machine Learning Engineer

Location : Dubai, UAE

About Us : We are a leading independent telecoms infrastructure company, with one of the most extensive tower portfolios across Africa and the Middle East. Our business model promotes tower infrastructure sharing and enables mobile network operators to deliver connectivity more quickly, reliably, and cost-effectively, driving sustainable development in our markets.

Overview : Reporting to the Director of Digital Innovation, you will design, build, and deploy production-grade machine learning solutions, driving data-driven insights for our global tower-management platform.

Key Responsibilities :

• Ingest and preprocess structured / unstructured data (images, text, time series)
• Engineer and select features to maximize model performance
• Prototype and implement ML algorithms using TensorFlow, PyTorch, or scikit-learn
• Perform hyperparameter tuning, cross-validation, and model selection
• Define evaluation metrics (precision, recall, F1, ROC-AUC) and conduct A / B tests
• Build CI / CD pipelines for data, code, and model artifacts; automate retraining and rollback
• Monitor model performance, data drift, and system health; alert on anomalies
• Document model designs, data schemas, APIs, and runbooks

Experience & Skills :

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• MLOps tools : MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP)
• Domain experience in computer vision, NLP, or forecasting
• Agile / Scrum collaboration; strong analytic and communication skills

Qualifications :

• Bachelor's / Master's in CS, Data Science, Statistics, or related
• Google Professional ML Engineer
• Proficiency in SQL, Git, Docker, and Kubernetes
• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance

Helios Towers is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, marital status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion, or belief.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Telecommunications

J-18808-Ljbffr

Description

Apt
Resourcesis seeking an
experiencedMachine Learning
Engineerfor aclient in Abu Dhabis
Government & Public Sector. In this role you
will design and deploy cutting-edge AI/ML solutions using Large
Language Models (LLMs) like GPT Llama and BERT to drive innovation
in public services.

This is an exciting
opportunity to work on high-impact projects
involvingRetrieval-Augmented Generation (RAG)
fine-tuning and prompt engineering ensuring secure
scalable and compliant AI systems for government
applications.

Key
Responsibilities:

• Develop and optimizeAI/ML
  pipelinesfor LLMs focusing onRAG
  architectures fine-tuning and prompt
  engineeringtailored for public sector
  needs.
• Implement scalable solutions
  usingPython LangChain HuggingFace
  PyTorch/TensorFlow and cloud-based ML services
  (Azure MLpreferred).
• Integratevector/graph
  databases(Weaviate Neo4j) into production systems to
  enhance data retrieval and analysis.
• Deploy
  and monitor models in production ensuring adherence
  togovernment security and compliance
  standards.
• Collaborate with
  cross-functional teams to align AI solutions
  withpublic sector objectives(e.g.
  citizen services data governance operational
  efficiency).

Requirements

• 6-14 yearsof hands-on
  experience inAI/ML with a strong focus
  onLLMs and GenAI.
• Expertise inLLM architectures
  (Transformers) prompt engineering and RAG
  implementations.
• Proficiency
  inPythonand ML frameworks
  (LangChain LlamaIndex HuggingFace
  Scikit-learn).
• Experience
  withcloud platforms (Azure ML AWS or
  GCP)andMLOps tools (MLflow model
  monitoring).
• Familiarity
  withvector databases ETL pipelines and unstructured
  data handling.
• Knowledge
  ofgovernment IT standards or secure
  deploymentsis a plus.

Benefits

To
be discussed

Key Skills

Children Activity,Graduate Engineering,Flight
Operations,Adobe Photoshop,Content Marketing,Broadcast
Employment Type : Full-Time
Experience: years

Vacancy: 1

Get AI-powered advice on this job and more exclusive features.

Insilico Medicine is an end-to-end, AI-driven pharma/biotechnology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform and models across biology, chemistry, and clinical development.

For more info, visit our website

About Role

Insilico Medicine seeks a Machine Learning Engineer (LLM/RL) to build and scale GenAI models for molecular tasks.

Place of work

Office based - Abu Dhabi (Level 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi, United Arab Emirates

Reports to

ML team leader

Responsibilities

• Design and scale reinforcement learning fine-tuning workflows for LLMs, including RLVR/RLHF approaches.
• Build and optimize high-throughput transformer training pipelines across multi-GPU and multi-node environments.
• Adapt models to domain-specific drug discovery and molecular design tasks, such as molecular generation and property prediction.
• Lead experimental design, monitor core metrics, and communicate insights and findings through presentations and/or publications.

Education

• M.S., Ph.D., or equivalent relevant experience in Computer Science, Machine Learning, Computational Chemistry, or a related quantitative discipline.

Required Skills & Experience

• ML Engineering : At least 5 years of experience in ML engineering
• Transformers: Expertise in training and deploying large transformer models using PyTorch.
• RL Algorithms: Hands-on experience with PPO/DPO/RLOO/GRPO and other related policy gradient and preference-based optimization methods.
• Scalable Training Pipelines: Proficiency in data, model, context, and pipeline parallelism.
• Reward Integration : Practical experience developing diverse reward functions and reward models.
• Tooling & Collaboration : Excellent Python skills are necessary, along with experience using Hugging Face Transformers, TRL/RLlib/verl, DeepSpeed, vLLM, Docker, Sagemaker, and CI/CD workflows.
• Senior Level : At least two years in a senior position.
• Drug Discovery & Molecular Design: Background in chemistry, cheminformatics, structural biology, or experience with molecular generative models.
• Generative Models: Knowledge of diffusion, flow-based, and other generative models.
• Research Leadership: Track record of machine learning publications.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology

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