MLOps

Assess the complete ML development process.
- Data Engineering
- Evaluate the maturity level of ML systems.
- Software Development
- Provide recommendations for improvement - DevOps
- Implement and maintain CI/CD pipelines for ML models.
- Monitor and manage model performance in production.

Experience in MLOps or related roles - Data Science
- Hands-on experience with ML model deployment and monitoring - System Administration
- Proven track record of implementing CI/CD pipelines - Automation Tools
- Experience with version control systems (Git).

Infosys Limited is hiring for our QualityEQS Unit!
The Infosys QualityEQS Team is a critical partner of all the business units and business enabling functions in achieving excellence in its business, delivery and client experience. We are the change agents that set benchmarking practices, share them across projects & units.
- Strong understanding of MLOps principles and practices - Data Analysis
- Experience with ML frameworks (TensorFlow, PyTorch) - Machine Learning
- Proficiency in programming languages (Python, R) - Cloud Computing