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 engagement with evolving model architectures and datasets to improve the accuracy and contextual relevance of the models. The workday includes analyzing model outputs, iterating on fine-tuning strategies, and collaborating with various stakeholders to ensure the models meet the desired performance standards in diverse applications. The role demands a proactive approach to problem-solving and innovation to keep the models aligned with emerging requirements and use cases.
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 deployment of fine-tuned language models to meet project goals.
- Coordinate cross-functional efforts to integrate model improvements into production environments.
- Mentor junior team members to enhance their technical capabilities and understanding of large language models.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Machine Learning Operations, Python Frameworks, Generative AI.
- Strong experience in fine-tuning and adapting language models for domain-specific applications.
- In-depth knowledge of model evaluation techniques and performance optimization.
- Ability to work with large-scale datasets and implement data preprocessing pipelines.
- Familiarity with cloud-based machine learning platforms and deployment strategies.
- Experience in collaborating with multidisciplinary teams to translate business requirements into technical solutions.
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
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Pune, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- 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: 8+ years
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