ML Engineer - Enterprise Artificial Intelligence

RENESAS DESIGN VIETNAM
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Quận 7, Hồ Chí Minh
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Mô tả công việc

Mô tả công việc

Company Description

Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.
Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world- leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.
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.

Job Description

Responsibilities

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

Yêu cầu công việc

Yêu cầu công việc

Must Have

Effective communication, documentation, and white- boarding skills
Strong interest in collaboration, learning, and driving value through ML
Familiarity with Databricks products and services
Experience with the latest techniques in natural language processing including vector databases, computer vision processing, fine- tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI, etc.
Have working knowledge of CI/CD
2+ years of hands- on development experience, using typical machine learning and data science tools such as pandas, scikit- learn, and TensorFlow/PyTorch
Bachelor&039;s degree or higher in computer science, statistics, mathematics, or a related field

Additional Information

Strongly Preferred

Experience working with a geographically distributed and cross- functional team including systems integrators and third- party companies
Knowledge in LLM use cases such as RAG
Experience in building and deploying AI/ML models using Databricks products
Databricks certifications
Working knowledge of at least one major cloud ecosystem (Azure, AWS, or GCP): Azure is preferred

Quyền lợi

Tại sao bạn sẽ yêu thích làm việc tại đây

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:
- 24/24 hour insurance package including social and medical and unemployed insurance
- Team- oriented environment.
- Sport activities and Annual company trip
- Dynamic people.
- Competitive salary/bonus based on working performance.
- Fair assessment.
- Excellent training program.
- Opportunity for promotion.

Cập nhật gần nhất lúc: 2024-06-20 10:45:05

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Quy mô: 200 - 500
Trụ sở: 31 Tan Thuan, Ho Chi Minh

Thông tin chung

Ngành nghề
IT phần mềm
Cấp bậc
Nhân Viên
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Hạn nộp hồ sơ
24/07/2024
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