Job Summary
A company is looking for a Machine Learning Engineer to join their Cloud Operations team.
Key Responsibilities
- Design, build, and maintain MLOps pipelines for model training and deployment
- Collaborate with data teams to create and manage data pipelines and feature stores
- Define and manage scalable infrastructure for model training and inference using container orchestration platforms
Required Qualifications
- 3+ years of experience in software engineering or DevOps, with 1+ years in MLOps or ML infrastructure
- Strong background in deploying machine learning models to production
- Advanced proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
- Experience with cloud platforms (preferably GCP) and infrastructure tools like Docker and Kubernetes
- Solid understanding of data engineering concepts such as ETL and data partitioning
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