Jobs Companies Accenture LLM Full Stack Engineer

About this LLM Full Stack Engineer role at Accenture

Accenture · Onsite · Hyderabad
Project Role : LLM Full Stack Engineer
Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.
Must have skills : Generative 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 focuses on enhancing the model's ability to understand and generate contextually relevant responses by carefully adjusting its parameters and training data. The workday includes analyzing model outputs, experimenting with fine-tuning techniques, and collaborating with team members to ensure the models meet the desired performance standards in various applications. Continuous evaluation and iteration are key aspects of the daily routine to maintain and improve model effectiveness.

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 processes and maintain clear records of experiments and outcomes.
- Assist in troubleshooting and resolving issues related to model performance and deployment.
- 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).
- Experience with natural language processing techniques and model fine-tuning strategies.
- Familiarity with handling large datasets and preprocessing methods to optimize model training.
- Ability to analyze model performance metrics and implement improvements based on findings.
- Knowledge of domain adaptation methods to tailor models for specific industry or application needs.
- Strong programming skills in languages commonly used for machine learning model development.

Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- 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.

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