Machine Learning Ops Engineer

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 MLOps Engineer, you will automate and streamline the process of integrating and maintaining machine learning models for both traditional and generative AI.
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

Optimize and monitor the performance, reliability, and security of AI/ML systems
Troubleshooting and resolving issues related to data, model, and infrastructure performance and availability
Applying best practices and standards for data quality, code quality, version control, CI/CD, and documentation
Research and evaluate new technologies and frameworks for improving the efficiency and effectiveness of machine learning workflows
Developing, testing, deploying, and monitoring scalable and reliable machine learning pipelines using Databricks

Yêu cầu công việc

Yêu cầu công việc

Qualifications

Effective communication, documentation, and white- boarding skills
Proficiency in Python, SQL, and at least one of the following frameworks and libraries: TensorFlow/PyTorch, Scikit- learn, etc.
Familiarity with Databricks products and services
Have working knowledge of CI/CD
Bachelor&039;s degree or higher in computer science, mathematics, or a related field
Experience with DevOps, MLOps, or LLMOps tools and methodologies, such as Git, Docker, Kubernetes, Jenkins, Airflow, Kubeflow, etc.
Strong interest in collaboration, learning, and driving value through ML

Additional Information

Strongly Preferred

Databricks certifications
Experience with Databricks, MLflow, Spark, Delta Lake, and other components of the Databricks Unified Data Analytics Platform
Experience working with a geographically distributed and cross- functional team including systems integrators and third- party companies
Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP). Azure is preferred
Knowledge in LLM use cases such as RAG

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

Cập nhật gần nhất lúc: 2024-05-26 00:30:07

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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
17/06/2024
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