Senior MLOps Engineer (Databricks Ecosystem)

Senior MLOps Engineer needed to bridge Data Science and Data Engineering by automating, scaling, and managing the end-to-end ML lifecycle on the Databricks platform. This is a remote, full-time contract role for a 6-month initiative.

• Design and implement CI/CD pipelines for ML models using Databricks and MLflow.
• Automate model deployment and monitoring in production.
• Collaborate with data scientists to containerize and deploy models.
• Manage infrastructure as code for Databricks environments.

• Experience with Databricks and Apache Spark.
• Strong proficiency in Python.
• Knowledge of MLOps practices (CI/CD, monitoring, model versioning).
• Experience with Docker and Kubernetes.

• Experience with MLflow and feature stores.
• Familiarity with Terraform.