
Machine Learning Operations Engineer
2 days ago
Job Summary :
We are seeking an experienced ML Platform Specialist to join our team. As a key member of the organization, you will be responsible for designing and deploying scalable machine learning infrastructure with a strong focus on Databricks, model lifecycle, and MLOps practices.
Key Responsibilities :
- Designing and implementing scalable ML infrastructure on Databricks Lakehouse
- Building CI/CD pipelines and workflows for machine learning lifecycle
- Managing model monitoring, versioning, and registry using MLflow and Databricks
- Collaborating with cross-functional teams to optimize machine learning workflows
- Driving continuous improvement in MLOps and automation strategies
Requirements :
- Bachelor's or Master's degree in Computer Science, ML, Data Engineering, or related field
- 3-5 years of experience in MLOps, with strong expertise in Databricks and Azure ML
- Proficient in Python, PySpark, MLflow, Delta Lake, and Databricks Feature Store
- Hands-on experience with cloud platforms (Azure/AWS/GCP), CI/CD, Git
- Knowledge of Terraform, Kubernetes, Azure DevOps, and distributed computing is a plus
What We Offer :
- Competitive compensation package
- Opportunities for growth and professional development
- Collaborative and innovative work environment
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