80 Machine Learning Engineer jobs in Dubai

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

2 days ago Be among the first 25 applicants

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.

At Delphi Consulting Pvt. Ltd. , we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset . We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security , and Application Modernization , delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role : We are looking for a highly skilled Machine Learning Engineer with a strong MLOps focus and hands-on experience with Databricks to join our dynamic team. The ideal candidate will play a key role in managing end-to-end ML pipelines, deploying models in a production-grade Databricks environment, and ensuring smooth collaboration across a remote, cross-functional team.

What you'll do :

• Design, develop, and manage ML pipelines within the Databricks ecosystem.
• Deploy, monitor, and retrain ML models in production.
• Work with Python , PySpark , Spark , and SQL for large-scale data processing and model development.
• Build and manage CI / CD pipelines in Azure DevOps for seamless model and code deployments.
• Develop and maintain LLM agents using diverse data sources including databases and knowledge graphs in a Databricks environment.
• Collaborate closely with remote data engineers , backend developers , and frontend developers to integrate ML models into applications.
• Perform code reviews and contribute to code quality standards.
• Create clear and concise documentation to track pipeline and model performance.

What you'll bring :

• 2–3 years of hands-on experience with Databricks , including ML and data pipeline management.
• 1–2 years of experience building AI / LLM agents that connect with Databricks.
• Strong proficiency in Python , SQL , PySpark / Spark .
• 3+ years of experience with Git for version control and collaboration.
• 1–3 years of experience deploying machine learning models in production environments using Databricks.
• 2+ years of DevOps experience , ideally in cloud environments.

What We Offer :

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed.

We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Consulting and Information Technology

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J-18808-Ljbffr

This is a remote position.

We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their data-driven technology powers MNOs, fintechs, and banks, enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cutting-edge financial tech with real-world impact, this is the opportunity for you.

With rapid growth, industry recognition, and a team that thrives on innovation, this is a chance to shape the future of finance in high-growth markets across Africa.

Our client is seeking an exceptional Machine Learning Engineer (Foundation Models Focus) to develop and scale AI and machine learning initiatives across their financial services ecosystem. This role is pivotal in driving AI-powered decision-making automation and hyper-personalization using foundation models including LLMs and multimodal AI. The Machine Learning Engineer will be responsible for developing pretraining, fine-tuning, and optimizing foundation models while working closely with data scientists, data engineers, and software engineering teams to deploy scalable AI solutions. This position plays a key role in enhancing financial AI applications such as automated underwriting, fraud detection, credit scoring, and AI-powered customer engagement, ensuring measurable improvements in performance and customer experience.

• Evaluate scope and support the foundation models and Generative AI strategy including potential applications in automated underwriting, alternative credit scoring, AI-powered customer interactions, fraud detection, and early-warning models.
  
• Design and develop AI-powered applications including chatbots, virtual assistants, personalized recommendation systems, and AI-driven decision-making tools.
  
• Plan for resourcing, training, and roadmap for AI adoption ensuring alignment with senior management and business needs.
  

• Pretrain, fine-tune, and optimize foundation models (e.g. GPT, LLaMA, Mistral) for various financial applications.
  
• Hyperparameter tuning for efficiency (e.g. optimization of transformer architectures, Mixture of Experts (MoE), retrieval-augmented generation (RAG)).
  
• Implement foundation model scaling techniques such as DeepSpeed, FSDP, and quantization to enhance efficiency.
  
• Develop custom embeddings, tokenizers, and retrieval models for enhanced financial NLP and multimodal tasks.
  
• Build pipelines for prompt engineering, reinforcement learning with human feedback (RLHF), and model alignment.
  

• Work with engineering and data teams to ensure AI models deployment is scalable, secure, and cost-efficient.
  
• Develop efficient inference optimization strategies using ONNX, TensorRT, and Triton Inference Server.
  
• Implement MLOps best practices including model versioning, continuous monitoring, retraining, and deployment on on-premise infrastructure or cloud (AWS, GCP, Azure).
  
• Define best practices for data collection, storage, and pipeline automation to enable AI-driven insights in financial services.
  

• Collaborate with data governance teams to ensure AI models comply with data privacy laws.
  
• Deploy real-time AI anomaly detection models to mitigate fraud risks in digital transactions.
  
• Partner with compliance teams to develop AI-driven regulatory reporting tools and automated risk alerts.
  
• Ensure ethical AI and bias mitigation techniques are integrated into foundation model-based decision-making systems.
  

• Develop AI models for hyper-personalized financial services based on behavioral analysis and customer interactions.
  
• Implement AI-powered marketing segmentation, dynamic customer scoring, and next-best-action recommendation engines.
  
• Partner with AI research institutions, universities, and fintech accelerators to drive foundation models and generative AI innovation.
  
• Represent the company at global fintech and AI summits, shaping industry conversations on Generative AI in financial services.
  
• Publish AI research, case studies, and thought leadership content to establish the company as a leader in AI-driven fintech.
  

What it takes to succeed:

• 7 years of experience in AI/ML, deep learning, NLP, or applied machine learning with at least 3 years leading AI teams.
  
• Strong expertise in foundation models, LLM architectures, and generative AI.
  
• Hands-on experience with AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, DeepSpeed, MegatronLM).
  
• Experience in scaling AI/ML models using distributed computing frameworks (Ray, Spark, Dask).
  
• Proven ability to deploy and optimize foundation models in production including quantization, distillation, and efficient inference strategies.
  
• Strong knowledge of data governance, AI ethics, and regulatory compliance (GDPR, financial regulations).
  
• Experience working with vector databases (FAISS, Pinecone, Chroma) for retrieval-augmented generation (RAG).
  
• Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases).
  
• Strong programming skills in Python, SQL, and cloud platforms (AWS, GCP, Azure).
  
• Ability to translate AI innovations into business-driven AI strategies for financial services.
  

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Direct message the job poster from Fox Talent

Our client are a rapidly growing technology house who are building state of the art AI platforms. They are looking to hire a Machine Learning Engineer to work onsite in Dubai who can help take their elite team to the next level.

The ideal candidate will have experience deploying machine learning models across a number of environments and working effectively with cross-functional teams. A strong technical background working with Python frameworks and knowledge of DevOps practices is required, along with a rich history of working on NLP and and AI models.

There is huge opportunity for career progression, training and exposure to the most cutting edge technology in the industry with excellent operational infrastructure.

The role offers a very competitive salary and excellent long term career growth.

If you are interested in applying please get in touch!

Requirements:

• Experience developing AI models and deep knowledge of NLP
• Strong technical background with experience in Python
• Familiarity with DevOps frameworks
• Proven track record building world class AI platforms

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesTechnology, Information and Media

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Dubai, Dubai, United Arab Emirates 12 hours ago

Global Village, Dubai, United Arab Emirates 5 months ago

Global Village, Dubai, United Arab Emirates 1 month ago

Dubai, Dubai, United Arab Emirates 15 hours ago

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Job Summary:

Our client is seeking a highly skilled Machine Learning Platform Engineer to join their team in Dubai. As a Machine Learning Platform Engineer, you'll design, develop, and maintain scalable machine learning platforms and infrastructure to support our business objectives.

Key Responsibilities:

• Design and develop machine learning platforms and infrastructure
• Build and maintain scalable data pipelines and architectures
• Collaborate with cross-functional teams to integrate machine learning models with business applications
• Develop and implement automated testing and deployment scripts
• Ensure platform security, scalability, and reliability

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3 years of experience in machine learning platform development
• Proficiency in programming languages such as Python, Java, or C
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Strong understanding of data structures, algorithms, and software design patterns

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!

This is a remote position.

We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their data-driven technology powers MNOs, fintechs, and banks, enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cutting-edge financial tech with real-world impact, this is the opportunity for you.

With rapid growth, industry recognition, and a team that thrives on innovation, this is a chance to shape the future of finance in high-growth markets across Africa.

Our client is seeking an exceptional Machine Learning Engineer (Foundation Models Focus) to develop and scale AI and machine learning initiatives across their financial services ecosystem. This role is pivotal in driving AI-powered decision-making automation and hyper-personalization using foundation models including LLMs and multimodal AI. The Machine Learning Engineer will be responsible for developing pretraining, fine-tuning, and optimizing foundation models while working closely with data scientists, data engineers, and software engineering teams to deploy scalable AI solutions. This position plays a key role in enhancing financial AI applications such as automated underwriting, fraud detection, credit scoring, and AI-powered customer engagement, ensuring measurable improvements in performance and customer experience.

• Evaluate scope and support the foundation models and Generative AI strategy including potential applications in automated underwriting, alternative credit scoring, AI-powered customer interactions, fraud detection, and early-warning models.
  
• Design and develop AI-powered applications including chatbots, virtual assistants, personalized recommendation systems, and AI-driven decision-making tools.
  
• Plan for resourcing, training, and roadmap for AI adoption ensuring alignment with senior management and business needs.
  

• Pretrain, fine-tune, and optimize foundation models (e.g. GPT, LLaMA, Mistral) for various financial applications.
  
• Hyperparameter tuning for efficiency (e.g. optimization of transformer architectures, Mixture of Experts (MoE), retrieval-augmented generation (RAG)).
  
• Implement foundation model scaling techniques such as DeepSpeed, FSDP, and quantization to enhance efficiency.
  
• Develop custom embeddings, tokenizers, and retrieval models for enhanced financial NLP and multimodal tasks.
  
• Build pipelines for prompt engineering, reinforcement learning with human feedback (RLHF), and model alignment.
  

• Work with engineering and data teams to ensure AI models deployment is scalable, secure, and cost-efficient.
  
• Develop efficient inference optimization strategies using ONNX, TensorRT, and Triton Inference Server.
  
• Implement MLOps best practices including model versioning, continuous monitoring, retraining, and deployment on on-premise infrastructure or cloud (AWS, GCP, Azure).
  
• Define best practices for data collection, storage, and pipeline automation to enable AI-driven insights in financial services.
  

• Collaborate with data governance teams to ensure AI models comply with data privacy laws.
  
• Deploy real-time AI anomaly detection models to mitigate fraud risks in digital transactions.
  
• Partner with compliance teams to develop AI-driven regulatory reporting tools and automated risk alerts.
  
• Ensure ethical AI and bias mitigation techniques are integrated into foundation model-based decision-making systems.
  

• Develop AI models for hyper-personalized financial services based on behavioral analysis and customer interactions.
  
• Implement AI-powered marketing segmentation, dynamic customer scoring, and next-best-action recommendation engines.
  
• Partner with AI research institutions, universities, and fintech accelerators to drive foundation models and generative AI innovation.
  
• Represent the company at global fintech and AI summits, shaping industry conversations on Generative AI in financial services.
  
• Publish AI research, case studies, and thought leadership content to establish the company as a leader in AI-driven fintech.
  

What it takes to succeed:

• 7 years of experience in AI/ML, deep learning, NLP, or applied machine learning with at least 3 years leading AI teams.
  
• Strong expertise in foundation models, LLM architectures, and generative AI.
  
• Hands-on experience with AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, DeepSpeed, MegatronLM).
  
• Experience in scaling AI/ML models using distributed computing frameworks (Ray, Spark, Dask).
  
• Proven ability to deploy and optimize foundation models in production including quantization, distillation, and efficient inference strategies.
  
• Strong knowledge of data governance, AI ethics, and regulatory compliance (GDPR, financial regulations).
  
• Experience working with vector databases (FAISS, Pinecone, Chroma) for retrieval-augmented generation (RAG).
  
• Familiarity with MLOps tools (MLflow, Kubeflow, Weights & Biases).
  
• Strong programming skills in Python, SQL, and cloud platforms (AWS, GCP, Azure).
  
• Ability to translate AI innovations into business-driven AI strategies for financial services.
  

We are seeking a seasoned data science expert to develop and deliver high-quality training programs.

The ideal candidate will have a strong background in data science and artificial intelligence, with expertise in creating engaging learning experiences.

Key Responsibilities:

• Design and deliver comprehensive training programs for data science and AI
• Provide instruction and mentorship to students, focusing on practical application and real-world scenarios
• Stay up-to-date with industry developments and advancements in data science and AI

Requirements:

• A Bachelor's degree in a relevant subject; a Master's degree and/or PhD in Data Science or closely related topics is preferred
• Experience as a data science instructor and in working with data science, data engineering, or artificial intelligence
• Excellent organizational, presentation, and interpersonal skills
• Fluency in English is mandatory; fluency in Arabic is an advantage
• Ability to work under pressure and meet deadlines
• Strong team player capable of building effective working relationships with colleagues and stakeholders

Key Skills and Knowledge:

• Exploratory Data Analysis using SQL and Python for data manipulation and visualization
• Fundamentals of mathematics for Data Science, including Boolean logic, statistical distributions, inference, and correlation
• Linear Regression and Web scraping techniques
• Data classification, evaluation, and real-world applications
• Unsupervised learning theory
• Natural Language Processing
• Neural Networks, Embeddings, and Convolutional Neural Networks
• Deep Learning methods for modeling sequential data

About Us:

We are a leading consulting firm dedicated to providing expert advice and support to clients across various industries. Our team of experienced professionals is passionate about delivering high-quality solutions that drive business success.

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

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

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.

Job Description

Job description:

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 maximise 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
• Containerize and deploy models (Docker, Kubernetes, SageMaker, Azure ML)
• 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
  
  

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• Data processing: Pandas, NumPy, Spark
• 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
  
  

• Bachelor's/Master's in CS, Data Science, Statistics or related
• AWS Certified Machine Learning – Specialty
• Google Professional ML Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Proficiency in SQL, Git, Docker and Kubernetes
  
  

• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Telecommunications

Referrals increase your chances of interviewing at Helios Towers by 2x

Dubai, Dubai, United Arab Emirates 14 hours ago

Global Village, Dubai, United Arab Emirates 3 months ago

Global Village, Dubai, United Arab Emirates 7 months ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.