ML Platform Architect

24 hours ago


Mumbai, India Philodesign Technologies Inc Full time

Job Title: MLOps EngineerExperience: 4–6 YearsWork Mode: RemoteBudget: ₹1 Lakh Per MonthEmployment Type: Full-time / ContractAbout the RoleWe are looking for an experienced Databricks MLOps Engineer to join our Data & AI Engineering team. The ideal candidate will have strong hands-on expertise in the Databricks ecosystem and a solid background in deploying, operationalizing, and maintaining machine learning models at scale. You will collaborate with data scientists, data engineers, and business teams to build robust, automated, and production-ready ML pipelines.Must-Have Skills- Databricks (Core Skill)- MLflow – Experiment tracking & model lifecycle management- End-to-End MLOps – Training, versioning, deployment, monitoring & retraining- Python – pandas, scikit-learn, PyTorch/TensorFlow- PySpark- Cloud Platforms – AWS (SageMaker), Azure or GCP- Docker / Kubernetes- CI/CD Pipelines – Jenkins, GitHub Actions, GitLab CIKey Responsibilities1. Databricks Platform Management- Work with Databricks Workspaces, Jobs, Workflows, Unity Catalog, Delta Lake, and MLflow.- Optimize clusters, compute resources, and workspace permissions.2. End-to-End ML Lifecycle- Implement and manage complete ML lifecycle: training, versioning, deployment, monitoring, and retraining.- Support deployment strategies like A/B testing, blue-green, and canary releases.3. Programming & Development- Build scalable ML and data pipelines using Python, PySpark, and SQL.- Maintain code quality through Git, reviews, and automated testing.4. Cloud & Infrastructure- Work across AWS/Azure/GCP for ML operations.- Implement IaC using Terraform.- Build/manage containerized workloads using Docker/Kubernetes.5. CI/CD & Automation- Create and optimize CI/CD pipelines for ML workflows.- Automate data validation, feature generation, model training & deployment.6. Monitoring & Observability- Implement monitoring using Databricks Lakehouse Monitoring for data quality, model drift, and performance.- Integrate explainability tools such as SHAP & LIME.7. Feature Engineering & Optimization- Work with Databricks Feature Store.- Execute distributed training and hyperparameter tuning using Optuna, Ray Tune, etc.8. Collaboration & Documentation- Collaborate with data scientists, ML engineers, DevOps, and business teams.- Create clear documentation & mentor junior engineers.Why Join Us?- Opportunity to work on large-scale AI & ML systems- Remote-first work culture- Exposure to modern cloud and MLOps technologies- Collaborative and growth-oriented environmentHow to ApplyInterested candidates can share their updated resume at ( ) or apply directly via LinkedIn.



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    Job Title: MLOps Engineer Experience: 4–6 Years Work Mode: Remote Budget: ₹1 Lakh Per Month Employment Type: Full-time / ContractAbout the RoleWe are looking for an experienced Databricks MLOps Engineer to join our Data & AI Engineering team. The ideal candidate will have strong hands-on expertise in the Databricks ecosystem and a solid background in...


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    Job Title: MLOps Engineer Experience: 4–6 Years Work Mode: Remote Budget: ₹1 Lakh Per Month Employment Type: Full-time / ContractAbout the RoleWe are looking for an experienced Databricks MLOps Engineer to join our Data & AI Engineering team. The ideal candidate will have strong hands-on expertise in the Databricks ecosystem and a solid background in...


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    Job Title: MLOps Engineer Experience: 4–6 Years Work Mode: Remote Budget: ₹1 Lakh Per Month Employment Type: Full-time / Contract About the Role We are looking for an experienced Databricks MLOps Engineer to join our Data & AI Engineering team. The ideal candidate will have strong hands-on expertise in the Databricks ecosystem and a solid background in...


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