Job Description
About this role
As a Senior Full Stack AI Engineer, you will develop the user interfaces for and manage the full lifecycles of AI/ML application experiences.
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.
Responsibilities
- Build and enhance user interfaces and experiences for AI solutions, including front-end and back-end systems and deploying complete applications.
- Develop and maintain full stack AI/ML applications using Databricks tools and frameworks.
- Collaborate with data scientists and AI/ML engineers, and domain experts on cross-functional projects using Databricks Workspaces.
- Keep up to date with the latest developments and trends in AI/ML applications and Databricks technologies.
Qualifications
Must Have
- Bachelor's degree or higher in computer science, engineering, or a related field.
- Experience with web development frameworks and tools, such as React, Angular, Bootstrap, etc for AI applications.
- Proficient in Python, SQL, HTML, CSS, JavaScript, Node.js or other programming languages for full stack AI/ML development.
- Familiarity with Databricks products and services
- Have working knowledge of CI/CD.
- Strong communication, documentation, and white-boarding skills.
- Passionate about creating innovative and impactful AI/ML solutions.
- Strongly Preferred
- Databricks Certifications.
- Experience in developing and deploying full stack AI/ML applications using Databricks products and services.
- Knowledge of AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, etc.
- Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP). Azure is preferred.
- Knowledge in LLM actual use cases.
- Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
Additional Information
Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier.’
At Renesas, you can:
- Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
- Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
- Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
Are you ready to own your success and make your mark?
Join Renesas. Let’s Shape the Future together.
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.