Role Summary We are seeking a Software Engineer with robust Python and MLOps foundations to build, enhance, and stabilize a production-grade AI/ML platform supporting model training, validation, deployment, and orchestration at enterprise scale. This role goes beyond scripting or notebook-driven ML. You will work in a class-based, API-driven, CI/CD-enforced MLOps ecosystem, contributing to reusable libraries, ML workflows, secure endpoints, JSON-schema-driven interfaces, and automated pipelines aligned with Chevron's evolving GitHub Actions strategy. Key Responsibilities Core Engineering & MLOps - Design, build, and maintain production-grade Python services using sound object-oriented principles (SOLID, separation of concerns, reusability). Contribute to and extend the enterprise MLOps pipeline supporting: - Model training, validation, and registration - Azure ML–based execution - Parameterized workflow orchestration - CI/CD-driven deployments Implement and maintain ML inference endpoints, with focus on:



-High-performance I/O using async programming and concurrency -Clean request/response contracts driven by JSON schemas -Robust validation and error handling Develop well-defined APIs (REST) with: -OpenAPI / Swagger documentation -Version-aware schemas and backward compatibility considerations Support platform evolution from Azure Pipelines to GitHub Actions, contributing to: -Pipeline re-architecture -Build, test, and release automation -Secure artifact promotion across environments Data, ML & Storage Work with Pandas and Polars for feature handling, transformations, and data preparation. Support ML workflows leveraging Scikit-Learn models and pipelines.

Integrate with Azure Blob Storage and Azure Data Lake for model artifacts, datasets, and metadata. (Nice to have) Contribute to solutions involving Azure Cosmos DB for metadata or workflow state tracking. Quality, Testing & Maintainability Write clean, maintainable, and testable code—optimizing for long-term platfo

📌 Python, MLOps (Bengaluru)
🏢 TalentOla
📍 Bengaluru