Analyst - Data & AI (UAE National)
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Job Location:
Monthly Salary:
Posted on:
23 days ago
Vacancies:
1 Vacancy
Job Summary
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.
Company Industry
Financial Services / Insurance Agencies and Brokerages / Investment Banking
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
