ML Platform Architect

9 hours ago


Navi Mumbai, India Philodesign Technologies Inc Full time € 1,00,000

MLOps Engineer Experience: 4–6 Years Work Mode: Remote Employment Type: Full-time / Contract 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 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. End-to-End MLOps – Training, versioning, deployment, monitoring & retraining Python – pandas, scikit-learn, PyTorch/TensorFlow Cloud Platforms – AWS (SageMaker), Azure or GCP Docker / Kubernetes 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. Programming & Development Build scalable ML and data pipelines using Python, PySpark, and SQL. Maintain code quality through Git, reviews, and automated testing. Cloud & Infrastructure Work across AWS/Azure/GCP for ML operations. Build/manage containerized workloads using Docker/Kubernetes. Create and optimize CI/CD pipelines for ML workflows. Automate data validation, feature generation, model training & deployment. Monitoring & Observability Implement monitoring using Databricks Lakehouse Monitoring for data quality, model drift, and performance. Execute distributed training and hyperparameter tuning using Optuna, Ray Tune, etc. Collaborate with data scientists, ML engineers, DevOps, and business teams. Opportunity to work on large-scale AI & ML systems Remote-first work culture Exposure to modern cloud and MLOps technologies com) or apply directly via LinkedIn.



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