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 : Machine Learning Operations

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a LLM Operations Engineer, 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 that all activities comply with security standards in AI operations. You will collaborate with various teams to enhance operational efficiency and contribute to the overall success of AI initiatives within the organization.

Roles & Responsibilities:

Expected to be an SME.
Collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Facilitate knowledge sharing sessions to enhance team capabilities.
Develop and implement best practices for operational efficiency.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Machine Learning Operations.
Good To Have Skills: Experience with cloud-native platforms such as AWS, Azure, or Google Cloud.
Strong understanding of model deployment strategies and monitoring tools.
Experience with containerization technologies like Docker and Kubernetes.
Familiarity with compliance and security standards in AI operations.

Additional Information:

The candidate should have minimum 5 years of experience in Machine Learning Operations.
This position is based at our Bengaluru office.
A 15 years full time education is required.

:

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.