Job Title :
Senior MLOps Engineer (Databricks | MLflow | Cloud | PySpark)
Job Function : MLOps
- Machine Learning Engineering
- Databricks Engineering
- Cloud & DevOps
- CI / CD Automation
Work Mode & Location :
Location : Ghansoli, Mumbai (Preferred)
Remote flexibility available
Experience : 4–6 years
Budget :
Up to 1 Lakh Per Month (1 LPM)
Job Summary :
We are seeking an experienced Databricks MLOps Engineer to join our Data and AI Engineering team. The ideal candidate should have strong expertise in Databricks, MLflow, cloud platforms, and end-to-end MLOps automation. You will collaborate with data scientists, ML engineers, and business stakeholders to build scalable and reliable production ML pipelines.
Key Responsibilities
1. Databricks Platform Management
Work with Databricks Workspaces, Jobs, Workflows, Unity Catalog, Delta Lake, and MLflow.Optimize Databricks clusters, compute usage, permissions, and workspace configuration.2. End-to-End MLOps Lifecycle
Manage model training, versioning, deployment, monitoring, and retraining processes.Implement deployment strategies including A / B testing, blue-green, and canary releases.3. Programming & ML Development
Develop ML and data pipelines using Python (pandas, scikit-learn, PyTorch / TensorFlow), PySpark, and SQL.Maintain code quality through Git, code reviews, and automated tests.4. Cloud & Infrastructure
Deploy and maintain ML infrastructure across AWS / Azure / GCP.Implement IaC using Terraform.Build and manage containerized ML workloads using Docker or Kubernetes.5. CI / CD & Automation
Create CI / CD pipelines using Jenkins, GitHub Actions, or GitLab CI.Automate data validation, feature generation, training, and deployment pipelines.6. Monitoring & Observability
Configure monitoring for data quality, model drift, inference performance, and model health.Integrate model explainability using SHAP or LIME.7. Feature Engineering & Optimization
Build and manage definitions in Databricks Feature Store.Run distributed training and hyperparameter tuning using frameworks such as Optuna or Ray Tune.8. Collaboration & Documentation
Work along with DS, DE, DevOps, and business teams.Create detailed documentation for pipelines, processes, and systems.Mentor junior engineers and support best practices adoption.Must-Have Skills
Databricks (Core)MLflowEnd-to-End MLOpsPython – pandas, scikit-learn, PyTorch / TensorFlowPySparkAWS (SageMaker experience preferred)Docker / KubernetesCI / CD – Jenkins, GitHub Actions, GitLab CILocation Preference :
Ghansoli, Navi Mumbai candidates preferred.
Shar your cv on priyanka.jadhav@philodesigntech.com
