Log In
Sign Up
Responsibilities:
- Develop, deploy, and maintain ML models and pipelines.
- Integrate ML models into the SmarterDx platform.
- Implement and maintain MLOps tools and practices.
- Optimize model performance and scalability.
- Build tools for data scientists.
- Contribute to ML systems design and architecture.
Requirements:
- 5+ years in ML engineering or MLOps.
- Proficiency in Python and SQL.
- Experience with ML libraries (e.g., scikit-learn, PyTorch).
- Experience deploying ML models with Docker, Kubernetes.
- Knowledge of CI/CD practices for ML.
- Familiarity with cloud platforms (AWS preferred).
- Experience with infrastructure as code tools.
- Strong data engineering and architecture knowledge.
- Excellent collaboration and communication skills.
Benefits:
- Medical/dental/vision benefits.
- 401k.
- Free One Medical membership.
- Parental leave.
- Remote first.
- Minimal bureaucracy.
- Incredible teammates!
