onsite
Senior Machine Learning Engineer - Houseful
ML Engineer
Senior Machine Learning Engineer responsible for transforming data science prototypes into production‑ready pipelines and live APIs, ensuring robust deployment, monitoring, and continuous improvement on AWS infrastructure.
About the role
Key Responsibilities
- Translate POC model code from data science into scalable, production‑grade pipelines and RESTful APIs.
- Deploy and maintain machine learning models on AWS, leveraging services such as SageMaker, ECS, and Lambda.
- Implement CI/CD workflows with Docker, GitHub Actions, and automated testing to ensure rapid, reliable releases.
- Monitor model performance in real‑world conditions, set up alerts, and iterate on models to maintain accuracy and compliance.
- Collaborate with data engineering, product, and operations teams to integrate models into the broader platform.
Requirements
- 5+ years of experience building and deploying machine learning solutions in production.
- Strong proficiency in Python, data pipelines, and containerization (Docker).
- Hands‑on experience with AWS services (SageMaker, ECS, Lambda, CloudWatch).
- Solid understanding of REST API design, versioning, and documentation.
- Experience with CI/CD pipelines, automated testing, and monitoring tools.
Skills
pythonmachine learningawsdockercicd