110 Machine Learning Specialist jobs in the United Arab Emirates

Job Summary:
A Machine Learning Operations (MLOps) Specialist plays a vital role in bridging the gap between data science and IT operations ensuring seamless integration of machine learning models into production environments. Heres a breakdown of the job:

Key Responsibilities:

Developing and Maintaining CI/CD Pipelines: Create automated workflows for building testing and deploying machine learning models.

Automating Deployment and Monitoring: Ensure models are deployed efficiently and their performance is continuously tracked in production environments.

Implementing Infrastructure as Code (IaC): Manage ML infrastructure using code to ensure consistency and scalability.

Troubleshooting and Resolving Issues: Identify and fix problems related to model deployment and performance.

Collaboration: Work with data scientists and engineers to optimize model performance scalability and integration.

Requirements:

Education: Bachelors degree in Computer Science Engineering or a related field.

Experience: 5 years in MLOps DevOps or a related role.

Technical Expertise: Strong understanding of machine learning concepts algorithms and cloud platforms (AWS Azure GCP).

Scripting Skills: Proficiency in Python or similar scripting languages.

Containerization: Experience with Docker and Kubernetes.

CI/CD Tools: Familiarity with Jenkins GitLab CI CircleCI or similar.

Job Summary:
A Machine Learning Operations (MLOps) Specialist plays a vital role in bridging the gap between data science and IT operations ensuring seamless integration of machine learning models into production environments. Heres a breakdown of the job:

Key Responsibilities:

Developing and Maintaining CI/CD Pipelines: Create automated workflows for building testing and deploying machine learning models.

Automating Deployment and Monitoring: Ensure models are deployed efficiently and their performance is continuously tracked in production environments.

Implementing Infrastructure as Code (IaC): Manage ML infrastructure using code to ensure consistency and scalability.

Troubleshooting and Resolving Issues: Identify and fix problems related to model deployment and performance.

Collaboration: Work with data scientists and engineers to optimize model performance scalability and integration.

Requirements:

Education: Bachelors degree in Computer Science Engineering or a related field.

Experience: 5 years in MLOps DevOps or a related role.

Technical Expertise: Strong understanding of machine learning concepts algorithms and cloud platforms (AWS Azure GCP).

Scripting Skills: Proficiency in Python or similar scripting languages.

Containerization: Experience with Docker and Kubernetes.

CI/CD Tools: Familiarity with Jenkins GitLab CI CircleCI or similar.

As a key member of our team, you will be responsible for developing high-quality predictive signals through data analysis and statistical modeling.

1. Create advanced statistical models to identify patterns and opportunities in large datasets.
2. Leverage machine learning techniques to optimize signal performance and accuracy.
3. Develop and implement data-driven strategies to drive business growth.
4. Collaborate with cross-functional teams to design and deploy system-wide solutions.

• Advanced degree in a quantitative field such as data science, statistics, mathematics, or engineering.
• Expertise in machine learning, NLP, and AI techniques is highly desirable.
• Proficiency in coding languages such as Python, R, or C++.
• Experience working with large datasets and exploring complex problems.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

A dynamic work environment that fosters innovation and creativity. Opportunities for professional growth and development. A competitive compensation package.

We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from candidates with diverse backgrounds and experiences.

We are seeking a skilled data scientist to join our organization.

• Analyse and interpret complex data sets to derive actionable insights.
• Develop and implement machine learning models and algorithms.
• Design, test, and optimize data science workflows in Azure Databricks using PySpark and Jupyter Notebooks.
• Collaborate with data engineers to ensure data quality and accessibility.
• Communicate findings and recommendations to business and technology stakeholders.

Job Requirements:

• 5+ years of experience in a data science or machine learning role.
• Strong proficiency with Azure Databricks, Jupyter Notebooks, and PySpark.
• Experience with Python ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
• Strong SQL skills and understanding of distributed data processing.
• Exposure to Azure Machine Learning and Data Factory.
• Familiarity with MLOps and model deployment in CI/CD pipelines.
• Excellent verbal and written communication skills with the ability to communicate technical concepts to non-technical audiences.

Benefits:

This is an exciting opportunity for data scientists to work on challenging projects and grow their careers.

Job Title: Data Science Leader

We are seeking a seasoned data science leader to spearhead the development of advanced analytics solutions.

The ideal candidate will have extensive experience in designing and implementing predictive models, as well as leading cross-functional teams to drive business outcomes.

Key Responsibilities:

• Analyze complex data sets from various sources to identify patterns and trends that inform business decisions.
• Develop and deploy data science solutions that meet the needs of stakeholders across the organization.
• Collaborate with colleagues to translate business requirements into functional specifications.
• Manage and analyze large datasets using machine learning algorithms and statistical modeling techniques.
• Clean and preprocess data for analysis, ensuring quality and accuracy.
• Communicate results and insights to stakeholders through effective reporting and presentation.
• Rank ML algorithms by their success probability and identify differences in data distribution that affect model performance.

Requirements:

• 7+ years of experience in advanced analytics and predictive modeling in a telecom CVM analytics role.
• Ability to understand and translate customer business needs into data requirements and analytical techniques.
• Fluency in SQL and experience in data acquisition, validation, cleaning, and management.
• Covering the full analytics life cycle, from data preparation to advanced analytics, predictive modeling, AI, and dynamic dashboards.
• At least 4 years of experience in the telecom industry.
• Excellent communication skills and ability to instruct people with various technical backgrounds.
• Strong programming skills and excellent English oral and written skills.

Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team.

This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.

You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.

Job Title

We are seeking a seasoned Data Science Professional to lead our analytics initiatives. This role requires 8-10 years of experience in data science, with a focus on managing loyalty programs.

The ideal candidate will:

• Develop innovative analytics use cases and projects for clients.
• Contribute to the growth and development of our analytics practice.
• Provide expertise on flagship loyalty management projects with select customers.

Key Responsibilities:

• Client Engagement: Collaborate with clients to understand their business needs and propose suitable analytics solutions.
• Solution Development: Build solutions to meet client requirements.

• Growth of Analytics Practice: Contribute to the strategic growth and development of the analytics practice.
• Industry Trends: Stay updated with industry trends and advancements in data science and analytics.

• Loyalty Management Projects: Provide leadership and expertise on flagship loyalty management projects with select customers.
• Loyalty Program Design: Ensure the successful design, execution, and management of loyalty programs.

• Expertise: Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Data Modeling: Strong understanding of data modeling, statistical analysis, and machine learning techniques.

• Skills and Qualifications: Bachelor's degree in computer science, statistics, mathematics, computer engineering, data science, or AI. Postgraduate degree in computer science is an added advantage.

Data Science Lead

The Data Science Lead will be responsible for developing and implementing the organization's institutional data strategies, ensuring alignment with FAIR principles and enabling AI-readiness across disciplines and functions.

Key Responsibilities:

• Lead the development and implementation of the organization's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of the organization's federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across Centers, platforms, and programs.
• Advance data, interoperability, and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across the organization's data lifecycle.

Engagement:

• Work closely with the Digital Transformation Accelerator leadership to ensure alignment of data-related investments, strategies, and governance models across the organization's science and enabling functions.
• Advise and support research programs and accelerators to co-develop and scale data-intensive solutions and decision-support tools, aligned with the organization's 2030 Research and Innovation Strategy.
• Collaborate with partners to contribute to public-good data infrastructure, standards development, and frontier data innovation.

Delivery:

• Establish and lead a CGIAR-wide Data Science Function and Community of Practice, fostering best practices, capability building, and standardization in data science, analytics, and infrastructure management.
• Ensure the timely implementation of the organization's institutional data strategy including the development of workplans and budgets

Required Skills and Qualifications:

Education and Experience:

• Advanced degree (Master's or PhD) in Data Science, Information Systems, Statistics, Computer Science, or a related discipline with a focus on data architecture, governance, or applied analytics.
• Minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research, public-good, or international development organizations.
• Proven track record in building and managing complex data ecosystems and driving data-enabled innovation across disciplines and functions.

Benefits:

The successful candidate will be employed by the CGIAR System Organization. The CGIAR System Organization is an equal opportunity employer and offers competitive compensation with favorable taxation arrangements and comprehensive employee benefits comprising extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

System Organization appointments are typically for a fixed term of three years, with a possibility of renewal subject to effective performance, operational needs, and funding.

CGIAR is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational, and multi-disciplinary, collegial working environment, with a competitive salary, excellent benefits, and flexible working arrangements. We consciously create an inclusive organization that reflects our global character and commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities. If you require accommodation due to a disability, please contact us.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer