Machine Learning Ops Engineer

6 months ago

Ho Chi Minh City, Vietnam Renesas Design Vietnam Full time

Renesas Design Vietnam

***
- 31 Tan Thuan, District 7, Ho Chi Minh- At office- Posted 3 hours ago- Skills:

- DevOps

Python

SQL

**Top 3 reasons to join us**:

- Cutting-edge technology in semiconductor design
- Competitive compensation and benefit package
- Young, dynamic, team-oriented working environment

**Job description**:
**Company Description**:

- 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.
- 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.

**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**
- Developing, testing, deploying, and monitoring scalable and reliable machine learning pipelines using Databricks
- Troubleshooting and resolving issues related to data, model, and infrastructure performance and availability
- Optimize and monitor the performance, reliability, and security of AI/ML systems
- Research and evaluate new technologies and frameworks for improving the efficiency and effectiveness of machine learning workflows

**Your skills and experience**:
**Qualifications**:

- Bachelor'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.
- 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
- Effective communication, documentation, and white-boarding skills
- 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
- Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP). Azure is preferred
- Knowledge in LLM use cases such as RAG
- Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies

**Why you'll love working here**:

- 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

**Renesas Design Vietnam**:
Who We Are: The World - Leading Embedded Solution Provider
- Company type
- IT Product
- Company size
- 1000+ employees
- Country
- Japan- Working days
- Monday - Friday
- Overtime policy
- Extra salary for OT

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