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LLM Model Developer

Accenture · sinnerschrader.ag
HyderabadSenior5+ yrs
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The job in short

Fine-tune large language models for instruction tuning and domain adaptation.

PythonLLMLLMsPyTorchTensorFlowFine-tuning

Details

Found
7 d ago · posted 2026-10-30
Location
Hyderabad

Full description

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) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a LLM Model Developer, you will engage in the fine-tuning of Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of users and applications. You will analyze model outputs, iterate on training processes, and implement strategies to improve the overall effectiveness of the models in real-world scenarios. 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. - Mentor junior team members to foster their growth and understanding of model development. - Continuously evaluate and integrate feedback from stakeholders to refine model performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of natural language processing techniques. - Experience with model evaluation metrics and performance tuning. - Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch. - Ability to work with large datasets and implement data preprocessing techniques. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based at our Bengaluru 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.

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