- Job type
- Full-time
- Experience
- 3+ yrs
- Salary
- Not disclosed
- Team
- Not stated
About the role
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), Generative AI, Agentic AI
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, a typical day involves refining and adapting advanced language models to better suit specific domains and instructions. This role requires a focus on enhancing the model's ability to understand and generate contextually relevant responses, ensuring that the outputs are aligned with the intended use cases. The workday includes analyzing model behavior, experimenting with fine-tuning techniques, and collaborating with team members to continuously improve the model's performance and applicability across various scenarios.
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 production environments.
- Document model development processes and maintain clear records of experiments and outcomes.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, Agentic AI.
- Experience in designing and implementing instruction fine-tuning techniques to improve model adaptability.
- Strong understanding of domain adaptation strategies to tailor models for specific applications.
- Ability to analyze model outputs critically and identify areas for enhancement.
- Familiarity with model evaluation metrics and performance optimization methods.
- Capability to work with large datasets and preprocess data for effective model training.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our HDC3C - SEZ office.
- A 15 years full time education is required.
15 years full time education
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), Generative AI, Agentic AI
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, a typical day involves refining and adapting advanced language models to better suit specific domains and instructions. This role requires a focus on enhancing the model's ability to understand and generate contextually relevant responses, ensuring that the outputs are aligned with the intended use cases. The workday includes analyzing model behavior, experimenting with fine-tuning techniques, and collaborating with team members to continuously improve the model's performance and applicability across various scenarios.
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 production environments.
- Document model development processes and maintain clear records of experiments and outcomes.
- Support junior team members by sharing knowledge and providing guidance on best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Generative AI, Agentic AI.
- Experience in designing and implementing instruction fine-tuning techniques to improve model adaptability.
- Strong understanding of domain adaptation strategies to tailor models for specific applications.
- Ability to analyze model outputs critically and identify areas for enhancement.
- Familiarity with model evaluation metrics and performance optimization methods.
- Capability to work with large datasets and preprocess data for effective model training.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our HDC3C - SEZ 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 atwww.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, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. 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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