Renesas Design Vietnam

Overview of job

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.

Renesas Design Vietnam Company Limited aims to provide our employees with comprehensive compensation and benefit plans, and a professional working environment. Some featured benefits are: 

- Competitive salary/bonus based on working performance. 

- Excellent training program. 

- Opportunity for promotion.

- Fair assessment. 

- 24/24 hour insurance package including social and medical and unemployed insurance 

- Dynamic people. 

- Team-oriented environment. 

- Sport activities and Annual company trip

Qualifications

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.
• 5 - 8 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

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 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