MLOps Engineer

3 weeks ago

Navi Mumbai, India Sourcebae Full time

Job Title: MLOps Engineer

Location: Ghansoli, Navi Mumbai

Experience: 4–8 Years

Notice Period: Immediate joiners preferred or within 15 days


Job Description:

We are seeking a skilled MLOps Engineer with hands-on experience in Azure, Databricks, and DevOps to design, automate, and maintain ML pipelines and production-ready models. The ideal candidate will have strong experience in ML pipeline automation, cloud infrastructure, model governance, and monitoring to ensure scalable, robust, and compliant ML solutions.


Key Responsibilities:

ML Pipeline Design & Automation

  • Build and maintain CI/CD & CT (Continuous Training) pipelines for ML models using Azure DevOps and Databricks Asset Bundles.
  • Automate data preprocessing, training, inference, and retraining workflows for large-scale ML deployments.
  • Implement incremental backfills and rolling window retraining for time-series forecasting.

Deployment & Infrastructure

  • Design job clusters and compute policies in Databricks for optimal cost-performance trade-offs.
  • Implement multi-environment deployment flows (Dev → QA → Prod) with approvals and rollback strategies.
  • Deploy ML models to production with monitoring hooks for performance and drift detection.

Data & Model Governance

  • Integrate with Unity Catalog for secure, compliant data and model storage.
  • Set up model versioning, lineage tracking, and reproducibility using MLflow.
  • Establish dataset and feature versioning using tools like Databricks Feature Store.

Monitoring & Observability

  • Implement structured logging for model metrics, system performance, and data quality checks.
  • Integrate monitoring tools (e.g., Azure Application Insights) for alerting and dashboards.
  • Develop automated retraining triggers based on performance degradation.


Mandatory Skills:

  • Cloud: Azure (mandatory) – Cloud & DevOps expertise.
  • ML Pipeline Automation: Azure DevOps / GitHub Actions.
  • Databricks: Asset Bundles, Unity Catalog, Feature Store.
  • Model Registry & Experiment Tracking: MLflow (or Weights & Biases).
  • Programming & Tools: Python (pandas, PySpark, scikit-learn, Prophet, ML/DL frameworks), Bash/PowerShell scripting, Git.
  • Testing & Quality: Data validation, schema enforcement, model testing, CI/CD quality gates.
  • Strong communication and stakeholder management skills.


Good-to-Have Skills:

  • Experience with time-series forecasting at scale (Prophet, Sarima, XGBoost).
  • Retail demand forecasting or energy sector analytics.
  • Feature engineering at scale with distributed systems.


If Intrested. Please submit your CV to Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832


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