onsite
Data Scientist AI/ML - Aptino
Data Scientist
Lead end‑to‑end AI/ML solutions on AWS, building scalable data pipelines, training models, and deploying production services using Lambda, Glue, SageMaker, and Bedrock.
About the role
Key Responsibilities
- Design, develop, and maintain production‑grade AWS services (Lambda, Glue, SageMaker, Bedrock, ECS/EKS, Step Functions) for data ingestion, processing, and model deployment.
- Build and automate robust data pipelines with PySpark and SQL, ensuring data quality and performance at scale.
- Collaborate with cross‑functional teams to translate business requirements into ML models and data solutions.
- Implement CI/CD workflows, monitoring, and observability for ML pipelines and deployed services.
- Stay current with emerging AI/ML technologies and AWS offerings to continuously improve solutions.
Requirements
- 5+ years of experience in software engineering, data engineering, or ML engineering.
- Deep expertise in AWS services (Lambda, Glue, SageMaker, Bedrock, ECS/EKS, Step Functions).
- Proficient in Python, PySpark, and SQL for data manipulation and model development.
- Strong background in building and deploying machine learning models at scale.
- Excellent problem‑solving skills and ability to work independently in a hybrid environment.
Skills
awspythonsqlmachine learning