AI/ML Engineer

• Develop AI and LLM solutions based on business requirements using approaches such as RAG architecture on enterprise data.
• Train, evaluate, and deploy AI/ML models using Databricks.
• Prepare and augment training datasets for models.
• Collaborate with data scientists and Full stack ai engineers, and domain experts on cross-functional projects using Databricks Workspaces.
• Research and evaluate new AI/ML technologies and Databricks best practices

Must Have

• Bachelor's degree or higher in computer science, statistics, mathematics, or a related field.
• Experience with the latest techniques in LLM, LVM, RAG, fine-tuning, and deploying with tools such as HuggingFace, Langchain, and foundation models.
• 2+ years of hands-on development experience, using typical machine learning and data science tools such as pandas, scikit-learn, and TensorFlow/PyTorch.
• Familiarity developing with Databricks products and services.
• Working knowledge of CI/CD.
• Strong communication, documentation, and white-boarding skills.
• Strong interest in collaboration, learning, and driving value through ML.
• Business-level proficiency in English (written and spoken).

Strongly Preferred

• Databricks certifications.
• Experience in building and deploying AI/ML models using Databricks products.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Azure certifications.
• Experience building Chatbots and Retrieval-Augmented Generation (RAG) systems using APIs from OpenAI, Anthropic, or Gemini.
• Knowledge in LLM actual use cases.
• Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
• Business-level proficiency in Japanese (written and spoken).

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.

We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.