About this role
As a Staff Full Stack AI Engineer, you will lead the design, development, and deployment of end-to-end AI/ML applications, including scalable front-end interfaces and robust back-end systems.
About our team
At Renesas, our Global AI, Data & Analytics Department is dedicated to enhancing productivity across the company by leveraging cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs). We work closely with business partners to deliver impactful AI-driven solutions that create value at a global enterprise scale. We are seeking passionate individuals who thrive in a collaborative, global team of technologists. Ideal candidates are excited about empowering internal customers, working with teammates across regions, and applying the latest advancements in AI and data technologies.
Responsibilities
- Lead UI and backend development for AI tool development projects.
- 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.
- 8-12 years of full-time work experience.
- 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.
- Experience working with APIs
- Strong familiarity developing 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.
- Business-level proficiency in English (written and spoken).
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 certifications.
- 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
