LLM Operations Engineer
Accenture · Pune, India · 4d ago
Mid levelOn-siteMachine Learning & AI
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, a typical day involves leveraging cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. The role includes continuous monitoring of model performance to identify and resolve operational issues promptly. Ensuring that all AI operations adhere to established compliance and security protocols is a key focus. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of daily activities, alongside proactive management of system health and resource optimization to support evolving business needs.
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.
- Collaborate with stakeholders to understand operational requirements and translate them into effective deployment strategies.
- Continuously evaluate and improve operational workflows to enhance system reliability and efficiency.
- Assist junior team members by sharing knowledge and providing guidance on best practices.
- Document operational procedures and incident reports to support knowledge sharing and compliance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Prompt Engineering, Generative AI.
- Experience with cloud-native services and infrastructure for deploying and managing AI models.
- Strong understanding of monitoring tools and techniques to track model performance and system health.
- Familiarity with security and compliance standards relevant to AI operations.
- Ability to troubleshoot and resolve operational challenges in a timely manner.
Additional Information:
- The candidate should have minimum 2 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
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, a typical day involves leveraging cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. The role includes continuous monitoring of model performance to identify and resolve operational issues promptly. Ensuring that all AI operations adhere to established compliance and security protocols is a key focus. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of daily activities, alongside proactive management of system health and resource optimization to support evolving business needs.
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.
- Collaborate with stakeholders to understand operational requirements and translate them into effective deployment strategies.
- Continuously evaluate and improve operational workflows to enhance system reliability and efficiency.
- Assist junior team members by sharing knowledge and providing guidance on best practices.
- Document operational procedures and incident reports to support knowledge sharing and compliance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Prompt Engineering, Generative AI.
- Experience with cloud-native services and infrastructure for deploying and managing AI models.
- Strong understanding of monitoring tools and techniques to track model performance and system health.
- Familiarity with security and compliance standards relevant to AI operations.
- Ability to troubleshoot and resolve operational challenges in a timely manner.
Additional Information:
- The candidate should have minimum 2 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com
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