Offer summary
Qualifications:
Bachelor's in computer science or related field, Master's is a plus OR 5+ years of ML Engineering experience., Proven software engineering experience with large-scale systems., Experience with Docker and Kubernetes for containerization., Familiarity with AWS services like EKS, ECS, EMR, Lambda., Extensive Python experience, especially with PyTorch and generative AI APIs..
Key responsabilities:
- Design, build, and deploy scalable ML models using Python and productivity tools.
- Apply software engineering best practices for quality, modular design, and testing.
- Collaborate with cross-functional teams to integrate advanced ML features.
- Track and refine model performance to meet business needs.
- Engage with advancements in ML and apply insights to projects.