This ML Ops / Integration Engineer role focuses on building and integrating Generative AI and Agentic AI solutions into enterprise environments. You will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure. Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools. Ensure seamless deployment and integration between cloud/prem environments (AWS). Integrate AI models into production environments using containerized platforms such as OpenShift. Implement and maintain network security protocols to safeguard AI systems and data pipelines. Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions. Monitor and optimize system performance, reliability, and scalability. Support CI/CD processes and infrastructure for AI model deployment and updates. Requirement: Bachelor's degree in Computer Science, Engineering, o...