Found Description
Role Summary We are seeking a Software Engineer with strong 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 infere...