Job Summary
A company is looking for an MLOps Engineer to manage the end-to-end lifecycle of production machine learning.
Key Responsibilities
- Design and implement CI/CD and scheduled pipelines for model training and inference
- Standardize model packaging and deployment strategies with automated rollbacks
- Implement monitoring and quality assurance processes for data and model performance
Required Qualifications
- 4+ years of experience in MLOps/ML platform or DevOps for data/ML systems
- Hands-on experience with Google Cloud Platform services such as BigQuery and Cloud Run
- Proficiency in Python, Docker, and CI/CD practices
- Solid SQL skills and understanding of data modeling for machine learning
- Experience operating production models with monitoring and incident response
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