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MLOps Engineer
Sourcebaeindore, madhya pradesh, in12 hours ago
Job descriptionDesign 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. 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 . 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. 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. Experience with time-series forecasting at scale (Prophet, Sarima, XGBoost). Retail demand forecasting or energy sector analytics. Feature engineering at scale with distributed systems.
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
Data & Model Governance
Monitoring & Observability
Mandatory Skills :
Good-to-Have Skills :
If Intrested. Please submit your CV to Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832
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Mlops Engineer • indore, madhya pradesh, in
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