onsite
AI and Data Science Engineer
Data Scientist
Design and implement AI-driven data pipelines and analytics dashboards on cloud platforms, leveraging Python, SQL, and machine‑learning techniques to deliver actionable insights and ensure robust data governance.
About the role
Key Responsibilities
- Develop, test, and deploy scalable data pipelines and AI models on AWS cloud infrastructure.
- Design and maintain interactive dashboards and visual analytics for business stakeholders.
- Implement data governance policies, ensuring data quality, security, and compliance across the platform.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Optimize performance of data workflows and machine‑learning models for production use.
Requirements
- Strong proficiency in Python and SQL for data manipulation and model development.
- Hands‑on experience with AWS services (e.g., S3, Redshift, SageMaker, Lambda).
- Solid understanding of machine‑learning algorithms and their deployment in production.
- Experience building data pipelines and ETL processes in a cloud environment.
- Proven ability to create clear, actionable dashboards using tools such as Tableau, Power BI, or similar.
Skills
pythonsqlawsmachine learning