MLOps Architect

Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region

Job Description

• As MLOps architect, you will be responsible to Design, build, deploy & continuously optimize cloud native Machine Learning system. 
• As MLOps architect, you would work together with cloud operations engineer to design and develop data/ML pipelines for continuous training of various AI/ML models.
• As part of the MLOps architecture development, you will work very closely with data engineers and model development team to enable the ML Model end to end lifecycle i.e., from Commissioning training datasets to deploying it in PROD environment. 
• As part of the design and architecting principles you will ensure seamless deployment and efficient re-use in multi project variant scenarios with focus on ensuring cost-effective deployments.
• As part of the job responsibility, you will also enable the downstream users and core development team to define common touch point for integration.
• As part of the design principles, you will ensure automation at all steps of validation.

Qualifications

• Master's degree/ bachelor's degree in computer science or Information Science or equivalent engineering stream.
• Experience: 8~12 Years' experience in Machine Learning Operations

Additional Information

Mandatory Skills & experience in:

• Strong programming skills in Python
• Experience with CI/CD practices, DevOps, and MLOps principles 
• Hands-on experience with cloud native MLOps frameworks and services (Azure ML Studio)
• Experience with DevOps, data pipelines, Azure ML registry, deployment methods viz. Docker, K8s, etc.
• Good knowledge of ML model development and deployment life cycle
• Experience with functional and system integration testing
• Experience working with Agile methodologies and frameworks

Preferred Skills & experience in:

• Hands-on experience with scaling using containerization in a cloud environment (Azure)
• Functional understanding of core data engineering concepts – data management, data lakes, data analysis and data lifecycle
• Motivating attitude, profound communication, strong interpersonal skills, structured and analytical