Position: ML Engineer Lead

Location: San Jose, CA (Hybrid)

Duration: 6-12 Months Contract

Interview: Video

Job Description:

We are seeking a talented Technical Lead to drive development and adoption of AI Solutions. In this role you will contribute to product roadmap, product design , development and onboarding of users to the platform. Your primary responsibility will be to lead development & adoption of Generative AI solutions that focus on technology improvements such as Technology Assistants & Data Management Efficiencies.

Responsibilities:

• Collaborate with cross-functional teams such as Data Scientists, Core Development Team and Partner Team Developers to identify requirements and orchestrate development work across team(s) by contributing to design, development and testing.
• Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Assist for Product Roadmap creation & define product requirements.
• Assist for adoption and promotion of the platform such as conducting open office hours, white-gloving team(s)onboarding etc.
• Write clean, high-performance, high-quality, maintainable code.
• 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 Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

• A Master's or Ph.D. degree in Computer Science or a related field.
• Proven experience working for a startup or Product leading development and adoption of the product or a platform.
• Strong proficiency in programming languages such as Java, Python, ML Platforms, LLMs, Machine Learning etc.
• Experience in development of technical product or platform for large enterprises.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
• Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have )
• Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
• Proven ability to adapt and learn new technologies and frameworks quickly.
• A proactive mindset with a passion for continuous learning and research.