LLM Model Developer

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 : Python Frameworks 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 working closely with advanced language models to refine their capabilities by focusing on instruction fine-tuning and adapting them to specific domains. This role requires continuous engagement with evolving datasets and model parameters to improve the relevance and effectiveness of the models in targeted applications. The workday includes analyzing model outputs, iterating on fine-tuning strategies, and collaborating with team members to ensure the models meet the desired performance standards within various contexts. 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 fine-tuned models into broader systems and workflows. - Continuously monitor model performance and implement improvements based on feedback and evaluation metrics. - Document fine-tuning processes and maintain clear records of experiments and outcomes. - Support junior team members by sharing knowledge and assisting with technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python Frameworks. - Experience with natural language processing techniques and model fine-tuning processes. - Familiarity with handling large datasets and optimizing model training workflows. - Ability to work with machine learning libraries and tools relevant to language model development. - Strong problem-solving skills to address challenges in model adaptation and performance enhancement. Additional Information: - The candidate should have minimum 3 years of experience in Python Frameworks. - This position is based at our Bengaluru 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.