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

At Renesas, our Global AI, Data & Analytics Department is dedicated to enhancing productivity across the company by leveraging cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs). We work closely with business partners to deliver impactful AI-driven solutions that create value at a global enterprise scale. We are seeking passionate individuals who thrive in a collaborative, global team of technologists. Ideal candidates are excited about empowering internal customers, working with teammates across regions, and applying the latest advancements in AI and data technologies.

Job Description

• 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.
• 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.