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
