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LLM Model Developer

Pune, India Full-time
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Added 7 Nov 2026 · Engineering

Job 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 : Generative AI 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 focuses on enhancing the model's ability to understand and generate contextually relevant responses by carefully adjusting its parameters and training data. Collaboration with various teams to align the model's capabilities with project goals is a key aspect, ensuring that the solutions developed meet the unique needs of different applications. Continuous evaluation and iteration are part of the daily routine to maintain and improve model performance in diverse 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. - Lead the development and implementation of strategies to optimize model fine-tuning processes. - Facilitate knowledge sharing and skill development within the team to foster continuous improvement. - Monitor project progress and ensure alignment with organizational objectives. - Support junior team members by providing guidance and technical assistance. 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 architectures. - Ability to analyze and preprocess large datasets to improve model training outcomes. - Familiarity with evaluation metrics to assess model performance and relevance. - Capability to collaborate effectively with cross-functional teams to integrate model solutions. Additional Information: - The candidate should have minimum 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. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Pay, skills & work eligibility

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Listed work location
Pune, India
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Work authorization wording
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by

Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.

Requirements at a glance

Experience mentioned: 5+ years

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Location & work arrangement

Listed work locations

  • Pune, India

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