Location: Oakland, US
Job Summary:
1. Job Duties and Scopes:
- Lead deployment of ML models using Databricks and MLFlow.
- Monitor and maintain ML model performance.
- Design and implement automated ML pipelines.
- Collaborate with data scientists and engineers, providing ML Ops expertise.
- Implement industry best practices for ML operations.
- Research and integrate emerging ML technologies.
2. Required Skills:
- Deep knowledge of ML models and algorithms.
- Expertise in Databricks, MLFlow, and relevant ML tools.
- Proficiency in Python, Scala, or Java.
- Strong experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
- Excellent analytical, problem-solving, and communication skills.
3. Required Experiences:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years’ experience in ML Ops, data engineering, or similar role.
Job URLs: