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LLM Model Developer

Accenture

On-site / hybridData Science / ML 1 day ago

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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), 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 deep focus on enhancing the model's ability to understand and generate contextually relevant responses. The workday includes analyzing model outputs, iterating on fine-tuning processes, and collaborating with team members to ensure the models meet the desired performance standards. Continuous evaluation and adjustment are key to maintaining the effectiveness and applicability of the models in various specialized areas. 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 fine-tuning methodologies and share insights to support knowledge transfer within the team. - Assist junior team members by providing guidance and support in model development tasks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models (LLMs), Agentic AI. - Strong experience in fine-tuning language models with a focus on instruction-based and domain-specific adaptations. - Ability to analyze and interpret model performance metrics to drive iterative improvements. - Familiarity with natural language processing techniques and their application in real-world scenarios. - Experience in managing large datasets and preparing them for model training and evaluation. - Capability to troubleshoot and optimize model architectures for enhanced efficiency and accuracy. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models (LLMs). - This position is based at our Gurugram 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 at   www.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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.