MLOps Engineer

About this roleAs an MLOps Engineer, you will automate and streamline the process of integrating and maintaining machine learning models for both traditional and generative AI.About our teamOur global AI, Data & Analytics Division at Renesas is experiencing an increasing demand for AI and Generative AI (LLM) based solutions. Working closely with our business partners, we deliver AI solutions to help drive value for Renesas at a global enterprise scale. We are seeking passionate candidates that will thrive as part of a global team of technologists that love empowering customers, collaborating with teammates, and using the latest AI and Data technologies.Responsibilities Optimize and monitor the performance, reliability, and security of AI/ML systems. Applying best practices and standards for data quality, code quality, version control, CI/CD, and documentation. Developing, testing, deploying, and monitoring scalable and reliable machine learning pipelines using Databricks. Troubleshooting and resolving issues related to data, model, and infrastructure performance and availability. Researching and evaluating new technologies and frameworks for improving the efficiency and effectiveness of machine learning workflows.