Responsibilities:

• Production pipeline development/deployment.

• DevOps tools.

• Automation/Orchestration.

• Release management.

• Model Testing.

• Environment Security.

• Performance Testing.

• Data governance.

• Design the data pipelines and engineering infrastructure

• Take offline models data scientists build and turn them into a real machine learning production system.

• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients machine learning systems.

• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, orchestration, etc.

• Support model development, with an emphasis on auditability, versioning, and data security.

Skills-Sets Required:

• Cloud Application.

• Python.

• SQL Server.

• GitHub.

• Experience in container technologies.

• Automation and monitoring tools.

• Production pipeline deployment using cloud platforms.

• IMMEDIATE JOINING.

• Excellent English communication and presentation skills, both verbal and written.