AI/ML Engineer
Renesas Electronics Corporation
Software Engineering, Data Science
Ho Chi Minh City, Vietnam · Ho Chi Minh City, Vietnam
Posted on Oct 17, 2024
Job Description
About this role
As an AI/ML Engineer, you will design and develop scalable and reliable artificial intelligence and machine learning models for various domains and applications.
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
Must Have
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 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 remain agile and fearless as we accelerate our growth, encouraging everyone to play an active role with an entrepreneurial mindset and accountability.
At Renesas, You Can
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.
About this role
As an AI/ML Engineer, you will design and develop scalable and reliable artificial intelligence and machine learning models for various domains and applications.
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
- 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 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
- 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 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
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 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 remain agile and fearless as we accelerate our growth, encouraging everyone to play an active role with an entrepreneurial mindset and accountability.
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 automotive, industrial, infrastructure, IoT, and sustainable products and solutions to meet our customers’ evolving needs and help people and communities thrive tomorrow.
- 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 (ERGs), will help you excel from the first day.
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.