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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, Large Language Models (LLMs), Python Frameworks, API Management, Agentic AI, Prompt Engineering Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Large Language Model Developer, your day involves refining and adapting advanced language models to better suit specific domains and instructions. You will engage in detailed tuning processes to improve the model's accuracy and applicability, ensuring it performs effectively within targeted contexts. This role requires a thoughtful approach to enhancing model capabilities, balancing technical adjustments with practical outcomes to meet project goals and stakeholder needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to integrate model improvements into broader systems. - Document model development processes and share insights to support team knowledge growth. - Assist junior team members by providing guidance and support in model development tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI, API Management, Large Language Models (LLMs), Python Frameworks, Agentic AI, Prompt Engineering. - Strong experience in fine-tuning language models with a focus on instruction tuning and domain adaptation. - Ability to design and implement scalable AI solutions that align with project requirements. - Familiarity with data preprocessing techniques and model evaluation metrics specific to language models. - Experience in optimizing model performance and troubleshooting issues during development cycles. Additional Information: - The candidate should have minimum 3 years of experience in Generative AI. - 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

Compensation

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Location, eligibility & working hours

Listed work location
Pune, India
Visa sponsorship
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Relocation support
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Working hours / time zone
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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: 3+ years

Python · 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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