Databricks MLOps Developer
1 week ago
Job Title: Databricks MLOps Developer
Mode: Hybrid
Location: Any location (Preferred: Pune)
Experience: 6+ Years
We are seeking an experienced
Databricks MLOps Developer
to build, automate, and manage end-to-end machine learning operations workflows on the Databricks Lakehouse platform. The role involves developing scalable ML pipelines, ensuring seamless model deployment, and enabling monitoring and governance for production-grade ML systems.
Key Responsibilities
- MLOps Pipeline Development:
Build and automate ML training, deployment, and monitoring pipelines using Databricks, MLflow, and Delta Lake. - Model Lifecycle Management:
Manage model versioning and transitions across development, staging, and production environments using MLflow Model Registry. - CI/CD Implementation:
Develop and maintain CI/CD pipelines for ML workloads using Git, Azure DevOps, Jenkins, or GitHub Actions. - Data Preparation & Feature Engineering:
Collaborate with data scientists and data engineers to prepare and optimize feature pipelines on Databricks. - Monitoring & Governance:
Implement model monitoring, data drift detection, and governance using Databricks and cloud-native tools. - Documentation & Collaboration:
Create technical documentation and work closely with cross-functional teams for seamless project delivery.
Required Skills & Qualifications
- Strong hands-on experience with
Databricks, MLflow, and Delta Lake
. - Proficiency in
Python
and
SQL
. - Practical knowledge of ML frameworks such as
TensorFlow, PyTorch, or Scikit-learn
. - Experience with
CI/CD tools
: Azure DevOps, Jenkins, or GitHub Actions. - Understanding of
cloud platforms
(AWS / Azure / GCP). - Knowledge of
Docker
and
Kubernetes
for containerization and orchestration.
Preferred Qualifications
- Databricks certifications (ML Professional / Data Engineer).
- Experience with
Unity Catalog
for data governance. - Exposure to feature store concepts and ML observability tools.
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