Data Annotation Engineer

LLM Operations Engineer

Project Role : LLM Operations Engineer
Project Role Description : Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations.
Must have skills : Large Language Models (LLMs)
Good to have skills : Prompt Engineering, Generative AI
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an LLM Operations Engineer, you will engage in a dynamic work environment where you will utilize cloud-native services and tools for scalable and efficient deployment. Your typical day will involve monitoring the performance of large language models, addressing operational challenges, and ensuring compliance with security standards in AI operations. You will collaborate with cross-functional teams to enhance operational efficiency and contribute to the overall success of AI initiatives.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the development and implementation of best practices for LLM operations.
- Collaborate with data scientists and engineers to optimize model performance.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Prompt Engineering, Generative AI.
- Strong understanding of cloud-native services and deployment strategies.
- Familiarity with monitoring tools for performance assessment.
- Knowledge of compliance and security standards in AI operations.

Additional Information:
- The candidate should have minimum 2 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.