Job vacancy: Machine Learning Lead
Location: San Jose, CA or Austin, TX (Can work remotely)
Job Description
- Collaborate with global cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI.
- Lead junior ML Engineers and guide them. Coordinate for product release and spread adoption among user communities
- Write clean, high-performance, high-quality, maintainable code.
- Discovering, analyzing, structuring and mining data.
- Define and build innovative ML and Generative AI systems.
- Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.
Compensation & Benefits: Benefits can be discussed in detail during the interview
Requirements
- 10 years of experience with a Master’s or Ph.D. in Computer Science, Statistics, Data Science, or related field
- Expertise in Go, GRPC, and Python
- Solid knowledge of software engineering best practices, including version control, code reviews, and testing methodologies
- Experience with GCP Vertex AI Components and SDK
- Experience with backend server and SDK development
- Experience with React UI (nice to have)
Job Type: Full-time
Pay: $60.00 - $70.00 per hour
Experience level:
- 10 years
- 11+ years
- 7 years
- 8 years
- 9 years
Schedule:
Work Location: Remote