MLOps Engineer

Job Description

About this role

As 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 team

Our 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.

Qualifications

Must Have

• Bachelor's degree or higher in computer science, mathematics, or a related field.
• Experience with DevOps, MLOps, or LLMOps tools and methodologies, such as Git, Docker, Kubernetes, Jenkins, Airflow, Kubeflow, etc.
• Proficiency in Python, SQL, and at least one of the following frameworks and libraries: TensorFlow/PyTorch, Scikit-learn, etc.
• Familiarity with Databricks products and services.
• Have working knowledge of CI/CD.
• Strong communication, documentation, and white-boarding skills.
• Strong interest in collaboration, learning, and driving value through ML.

Strongly Preferred

• Databricks certifications.
• Experience with Databricks, Mlflow, Spark, Delta Lake, and other components of the Databricks Unified Data Analytics Platform.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP). Azure is preferred.
• Knowledge in LLM actual use cases.
• Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’
At Renesas, you can: 

• Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.

• Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. 

• Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?

Join Renesas. Let’s Shape the Future together.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.