- Location
- Navi Mumbai, MDC5C, India
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
Description
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 : Generative AI, Large Language Models (LLMs), Machine Learning Operations, Agentic AI
Good to have skills : NA
Minimum 3 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 requires 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 adapting to evolving technological landscapes to optimize deployment strategies.
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.
- Maintain documentation of operational procedures and incident reports to support knowledge sharing and continuous improvement.
- Assist junior team members by providing guidance and support to foster their professional growth.
- Proactively identify potential risks in AI operations and implement mitigation plans to ensure system reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
- Experience with cloud-native platforms and tools for AI deployment and monitoring.
- Strong understanding of AI compliance frameworks and security best practices.
- Ability to troubleshoot and resolve operational challenges in AI systems efficiently.
- Familiarity with performance monitoring techniques and tools specific to large-scale AI models.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our MDC5C - SEZ location.
- 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 : Generative AI, Large Language Models (LLMs), Machine Learning Operations, Agentic AI
Good to have skills : NA
Minimum 3 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 requires 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 adapting to evolving technological landscapes to optimize deployment strategies.
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.
- Maintain documentation of operational procedures and incident reports to support knowledge sharing and continuous improvement.
- Assist junior team members by providing guidance and support to foster their professional growth.
- Proactively identify potential risks in AI operations and implement mitigation plans to ensure system reliability.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI, Machine Learning Operations, Large Language Models (LLMs), Agentic AI.
- Experience with cloud-native platforms and tools for AI deployment and monitoring.
- Strong understanding of AI compliance frameworks and security best practices.
- Ability to troubleshoot and resolve operational challenges in AI systems efficiently.
- Familiarity with performance monitoring techniques and tools specific to large-scale AI models.
Additional Information:
- The candidate should have minimum 3 years of experience in Generative AI.
- This position is based at our MDC5C - SEZ location.
- 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 at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills
Machine LearningCompliance
