AI/ML

As a member of the Infosys QualityEQS Team, your role will involve being a critical partner to all business units and functions in order to achieve excellence in business delivery and client experience. You will act as a change agent, setting benchmarking practices and sharing them across various project units. Your responsibilities will include the following key tasks: - Assess the complete ML development process - Handle Data Engineering tasks - Evaluate the maturity level of ML systems - Participate in Software Development activities - Provide recommendations for improvement in DevOps - Implement and maintain CI/CD pipelines for ML models - Monitor and manage model performance in production To excel in this role, you should have a strong understanding of MLOps principles and practices, as well as experience with ML frameworks such as TensorFlow, PyTorch, and Machine Learning. Proficiency in programming languages like Python, R, and Cloud Computing will be essential. In terms of technical requirements, you should have at least 3 years of experience in MLOps or related roles in Data Science. Hands-on experience with ML model deployment and monitoring, as well as System Administration, will be crucial. A proven track record of implementing CI/CD pipelines and familiarity with Automation Tools and version control systems like Git are also necessary. Please note that the preferred skills for this role include expertise in Machine Learning and MLOps technologies.,