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 : NA
Minimum 7.5 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 various teams to maintain smooth functioning and optimize deployment processes is an integral part of daily activities, fostering a reliable and secure AI environment.
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.
- Oversee the implementation of best practices in deployment and operational workflows.
- Facilitate knowledge sharing and skill development within the team to enhance overall performance.
- Coordinate cross-functional efforts to align operational goals with organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with cloud-native services and tools for deployment and monitoring of AI models.
- Strong understanding of operational challenges related to AI systems and their mitigation strategies.
- Familiarity with compliance and security standards applicable to AI and machine learning operations.
- Ability to analyze system performance metrics and implement improvements for scalability and efficiency.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Pune office.
- A 15 years full time education is required.
Pune
Egalité des chances face à l'emploi
Chez Accenture, l’inclusion et la diversité sont essentielles à notre culture et font partie intégrante de nos valeurs fondamentales. Nous sommes engagés à créer un environnement de travail dans lesquels tous nos collaborateurs sont respectés et ont le moyen de donner le meilleur d'eux-mêmes. Nous offrons un environnement inclusif, sans égard aux caractéristiques personnelles comme l’origine ethnique, la religion, le genre, l’orientation sexuelle, l’identité ou l’expression du genre, l’âge ou le handicap.
Les candidats à un poste sont tenus de ne pas divulguer les dossiers de condamnation ou d'arrestation sous scellés ou effacés dans le cadre de leur processus d'embauche.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.