LLM Model Developer

Project Role : LLM Model Developer
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), Python Frameworks, Generative AI
Good to have skills : NA
Minimum 7.5 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 various applications. The workday includes analyzing model outputs, iterating on fine-tuning strategies, and collaborating with cross-functional teams to align model capabilities with project goals. Attention to detail and a focus on enhancing model performance in targeted contexts are central to daily activities.

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 the development and implementation of fine-tuning strategies to optimize model performance.
- Coordinate knowledge sharing sessions to foster team growth and innovation.
- Monitor and evaluate model outputs to ensure alignment with project objectives.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models, Python Frameworks, Generative AI.
- Strong experience with model fine-tuning techniques, including instruction fine-tuning and domain adaptation.
- Ability to work with large-scale datasets and preprocess data for model training.
- Familiarity with neural network architectures and transformer-based models.
- Experience in debugging and optimizing model training workflows.
- Capability to collaborate effectively with data scientists, engineers, and product teams.

Additional Information:
- The candidate should have minimum 8 years of experience in Large Language Models.
- This position is based at our PDC3C - SEZ 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

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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.