Senior AI Engineer

      Design, develop, and operationalize end to end AI & ML models across cloud environments.

•            Implement advanced analytics, feature engineering, and model optimization for performance, scalability, and reliability.

•            Build production ready ML pipelines using Azure ML, GCP Vertex AI, and associated cloud services.

•            Develop CI/CD and AI & MLOps workflows using Docker, Git, and MLflow for automated training and deployment.

•            Contribute to architectural decisions, ensure adherence to standards, and create robust, maintainable ML components.

•            Conduct experiment design, model evaluation, benchmarking, and documentation.

•            Own assigned topics and ensure timely delivery with high technical quality.

•            Collaborate with product owners, domain experts, solution architects, and cross functional teams to translate requirements into scalable ML solutions.

•            Ensure compliance with Siemens quality, security, and documentation standards.