Machine Learning Ops Engineer

3 weeks ago

Ho Chi Minh City, Vietnam Renesas Electronics Full time

**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

**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

Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

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