MLops

Job Description: 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 Key Responsibilities: Responsibilities 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 Technical Requirements: 3 years 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 Preferred Skills: Technology->Machine Learning->MLOps