ML Ops Platform Engineer

JD
Databricks Platform Engineer
Experience Level: Level 3 (5+ years)
Job Description:
We are seeking a Databricks Platform Engineer to lead the automation of MLOps pipelines and ensure scalable model deployment workflows. This role plays a critical part in bridging data science and operations.
Key Responsibilities:
Build and automate MLOps pipelines for model deployment and monitoring.
Ensure scalability, security, and operational efficiency of ML workflows.
Collaborate with cross-functional teams to align infrastructure with data science needs.
Required Skills:
MLOps, CI/CD (Azure DevOps/GitHub Actions)
Kubernetes, Docker, Python
Cloud Platforms (Azure/AWS/GCP), Model Monitorin
JD
Databricks Platform Engineer
Experience Level: Level 3 (8+ years)
Job Description:
We are seeking a Databricks Platform Engineer to lead the automation of MLOps pipelines and ensure scalable model deployment workflows. This role plays a critical part in bridging data science and operations.
Key Responsibilities:
Build and automate MLOps pipelines for model deployment and monitoring.
Ensure scalability, security, and operational efficiency of ML workflows.
Collaborate with cross-functional teams to align infrastructure with data science needs.
Required Skills:
MLOps, CI/CD (Azure DevOps/GitHub Actions)
Kubernetes, Docker, Python
Cloud Platforms (Azure/AWS/GCP), Model Monitoring