Mlops and GCP

Job Description: You are seeking a highly skilled and experienced AI/ML Platform Engineer to build and manage the end-to-end Machine Learning (ML) and IT operations (AIOps) infrastructure on Google Cloud Platform (GCP). In this role, you will be a key player in bridging the gap between data science and operations, automating the ML lifecycle, and implementing AI-driven solutions to optimize IT and business processes. Key Responsibilities: - Strong hands-on experience on MLOps and AIOps using Google stack - Good knowledge of DevOps and CI/CD - Experience in Modelling and their Deployment - Good knowledge of working with Git - Working knowledge of Google Agentic Framework - Experience working with Google LLM Qualifications Required: - Minimum 5 years and maximum 11 years of experience - Hands-on GCP 3+ experience - Notice period of immediate to 15 days - Familiarity with AI/ML technologies and Google Cloud Platform - Strong understanding of DevOps practices and CI/CD pipelines About the Company: Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.,