This is a remote position.
We are looking for an experienced Senior Machine Learning Engineer to join our client and help further develop a successful, globally deployed recommender system. In this role, you will be responsible for enhancing the architecture, deployment processes, and operational backbone of the ML platform, with a strong focus on MLOps, AWS, and production-ready machine learning systems.
You will work closely with data scientists, engineers, product managers, and business stakeholders, providing technical guidance and helping ensure that ML models are scalable, reliable, reproducible, and production-ready.
Responsibilities:
- Driving and improving MLOps practices across the ML environment
- Building and optimizing CI/CD pipelines using GitLab
- Implementing ML experiment tracking and model management with MLflow
- Productionizing and deploying machine learning models using AWS SageMaker
- Designing and maintaining scalable ML and data pipelines
- Developing and maintaining Python-based ML and data infrastructure
- Implementing monitoring and observability for ML systems
- Providing technical guidance and mentoring to Data Scientists, Data Engineers, and MLOps Engineers
- Applying software engineering best practices, including testing, documentation, and system design
- Collaborating with Product Managers, Data Scientists, Engineers, and business stakeholders
- Evaluating and introducing new technologies to improve ML capabilities