290 Machine Learning Engineering jobs in the United Arab Emirates

Join the Roads and Transport Authority (RTA) to lead transformative AI strategies that shape the future of smart mobility and data-driven governance in Dubai. We’re looking for a dynamic Chief Specialist to drive cutting-edge AI research, project implementation, and cross-agency innovation.

Key Responsibilities:

• Implement and manage the AI Strategy aligned with RTA’s Digital Vision
• Lead design, testing, and deployment of AI solutions including machine learning, NLP, computer vision, and robotics
• Develop the AI roadmap, methodology, policies, and standards across departments
• Drive AI proof-of-concept development, tendering, vendor management, and project delivery
• Foster a culture of AI innovation, experimentation, and capability building across RTA
• Conduct global AI research, evaluate tech trends, and optimize executed use cases
• Identify and prioritize AI projects across agencies based on organizational needs and impact
• Build and mentor a high-performing AI engineering team focused on continuous learning

Qualifications & Skills:

• Bachelor’s degree in IT, Computer Science, Computer Engineering, or equivalent
• Minimum 11 years of proven experience leading successful AI projects
• Expertise in machine learning, deep learning, reinforcement learning, generative AI, and neural networks
• Proficiency in Python, Java, Scala, C++, or R
• Hands-on with frameworks like TensorFlow, Keras, Scikit-learn, Caffe, etc.
• Experience with structured & unstructured data, KPI development, and agile/scrum methodologies

Be part of Dubai’s transformation into a world-class smart city

• Mid-Senior level

• Full-time

• Information Technology

• Government Administration

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Job Description

Data Science Intern (2 positions available)

Duration: July 2025 - January 2026 (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive multiskilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs.

Benefits for Interns

• Gain hands-on experience within the pharmaceutical industry
• Grow your potential and be part of a diverse team
• Work within a challenging and dynamic environment
• Develop strong analytical and problem-solving skills

Your Responsibilities

• Support the development and coding of advanced models and use cases in the Data team within the Commercial Operations department to deliver actionable insights to the business

Your Profile

• Fluent in English
• Expected graduation in 2026 or later
• Available to work 30-40 hours per week
• Educational background in Tech and Computer Science preferred
• Proficiency in Python programming; experience with Data Analytics tools like Dataiku is a plus
• Strong analytical mindset, organized, proactive, striving for excellence, self-driven with efficient reporting skills

What We Offer

• Monthly stipend
• Buddy and mentor support
• Learning opportunities

Current Employees: Apply HERE

Current Contingent Workers: Apply HERE

Important Notice for Search Firm Representatives

Merck & Co. Inc. and Merck Sharp & Dohme LLC do not accept unsolicited assistance from search firms. All CVs/resumes submitted without a valid written agreement will be deemed property of our company. No fee will be paid unless a formal agreement is in place. Please no phone calls or emails.

Additional Details

• Employee Status: Intern/Coop (Fixed Term)
• Relocation: Not applicable
• VISA Sponsorship: Not specified
• Travel Requirements: Not specified
• Flexible Work Arrangements: Not applicable
• Shift: Not specified
• Valid Driving License: Not specified
• Hazardous Materials: Not specified
• Job Posting End Date: 05/14/2025

*Applications should be submitted before 11:59 PM on the day prior to the end date listed above.

Required Experience: Intern

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting