Analyst - Data & AI (UAE National)

Job Description

We are seeking a motivated and technically sound AI & ML Analyst to support the development and deployment of machine learning models and generative AI solutions. In this role, you will work closely with senior team members to help solve real-world business problems using AI technologies and ensure smooth integration into existing systems. This is an excellent opportunity for someone with a strong foundation in machine learning, data processing, and cloud platforms to grow in a hands-on, collaborative environment.

Key Responsibilities :

Assist in building and validating machine learning models and generative AI solutions for business use cases.

Support the creation and maintenance of scalable ML pipelines, including data preparation, feature engineering, training, and evaluation.

Collaborate with senior data scientists and engineers to fine-tune models for performance and reliability in production environments.

Help integrate ML models into applications through APIs and system interfaces.

Monitor deployed models for accuracy, performance, and data quality; escalate issues as needed.

Contribute to ongoing research and benchmarking of AI tools and models to improve current solutions.

Work with data engineers to ensure high-quality data ingestion and transformation pipelines.

Learn and apply version control and CI / CD practices in the ML lifecycle using tools like Git and Azure DevOps.

Use Azure services (e.g., Azure Machine Learning Studio, Databricks) to assist with model development, testing, and deployment.

Follow best practices in documentation, code quality, and reproducibility in AI / ML projects.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.2–4 years of hands-on experience in machine learning or data science projects.

Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).

Exposure to cloud environments, ideally Microsoft Azure or similar platforms.

Familiarity with ML workflows, version control, and basic DevOps practices.

Strong analytical and problem-solving skills.

Willingness to learn and collaborate across teams.