Hello,

We are from Mavinsys Talent Acquisition team based on One World Trade Centre, New York. We are specializing in IT services and staffing majorly in lateral hiring/contract. Below is one of our requirement to fill immediately, if you're interested, please share your candidature to joinus@mavinsys.com

Job Title: Lead ML Engineer

Location: Austin, TX San Jose, CA

Duration: 12months

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.