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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 : Large Language Models (LLMs), Machine Learning Operations, 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 experimentation and adjustment to improve the model's accuracy and applicability in various contexts. Collaboration with different teams to align the model's capabilities with project goals is a key part of daily activities, ensuring that the solutions developed are both relevant and effective for intended applications. 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. - Mentor junior team members to support their growth and integration within the project. - Coordinate cross-functional efforts to ensure alignment of model outputs with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), Machine Learning Operations, Python Frameworks, Generative AI. - Strong knowledge of model fine-tuning techniques, including instruction fine-tuning and domain adaptation. - Experience with handling large datasets and optimizing model training workflows. - Ability to troubleshoot and resolve issues related to model performance and deployment. - Familiarity with cloud-based machine learning platforms and scalable infrastructure. Additional Information: - The candidate should have minimum 8 years of experience in Large Language Models (LLMs). - This position is based at our PDC3C - SEZ 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

Compensation

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Location, eligibility & working hours

Listed work location
Pune, India
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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: 8+ years

Python · requirementMachine learning · requirement

Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.

Location & work arrangement

Listed work locations

  • Pune, India

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