Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Developer, a typical day involves refining and adapting advanced language models to better suit specific domains and instructions. This role requires continuous engagement with evolving model architectures and datasets to improve the relevance and effectiveness of the models in targeted applications. The workday includes iterative experimentation, evaluation of model outputs, and collaboration with various teams to align the model's capabilities with project goals and user needs, ensuring the models perform optimally in diverse contexts.
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.
- Lead efforts to identify and implement improvements in model fine-tuning processes to enhance overall performance.
- Facilitate knowledge sharing and mentorship within the team to support continuous learning and development.
- Coordinate cross-functional communication to ensure alignment of model development with broader organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with model fine-tuning techniques, including instruction fine-tuning and domain adaptation.
- Strong understanding of natural language processing concepts and transformer-based architectures.
- Ability to analyze and preprocess large datasets to optimize model training and evaluation.
- Familiarity with performance metrics and evaluation methods specific to language models.
- Skill in collaborating with interdisciplinary teams to integrate model outputs into practical applications.
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Gurugram 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 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.