ML Ops Integration Engineer

Role: ML Ops Integration Engineer Duration: 12 months ( renewable) Location: Singapore Key Responsibilities: . 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. Requirements: . Bachelor's degree in Computer Science, Engineering, or a related field. . 4+ years of experience in Machine Learning engineering or AI system integration. . Bash and Unix/Linux command-line toolkit is a must-have....