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

Experience:

• Years of relevant Experience: 4-6 years (Must have)

Desired Candidate Profile:

• IMMEDIATE JOINING
• Excellent English communication and presentation skills, both verbal and written
• Charismatic, competitive and enthusiastic personality with negotiation skills
• Excellent interpersonal and customer-facing skills