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 to build and turn them into a real machine learning production system.
-Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's 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 audibility, 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.