Lead ML Engineer

Job Description;

- Collaborate with cross-functional teams such as Data Scientists, Core Development Team and Partner Team Developers to identify

requirements and orchestrate development work across teams(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.

- Assit for Product Roadmap creation & define product requirements.

- Assist for adoption and promption 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

- 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.