Hiring.Camp

Large Language Model Architect

Accenture

·

Today

Location
Gurugram, DDC1, India
Type
Full-time
Department
Engineering
Experience
8+ years
Source
Workday

Description

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : Large Language Models (LLMs)
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 Architect, a typical day involves designing and structuring advanced language models capable of understanding and generating human-like text. This role requires envisioning the architecture of neural networks that process vast amounts of unstructured text data. The professional spends time analyzing model performance, refining parameters, and ensuring the models meet the desired objectives. Collaboration with various teams to align the model design with project goals and continuous exploration of innovative approaches to enhance language understanding are integral parts of the daily routine.

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 scalable language model architectures to meet project requirements.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate cross-functional efforts to integrate language models into broader systems and applications.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with designing and tuning neural network architectures for natural language processing tasks.
- Strong understanding of deep learning frameworks and their application in language model training.
- Ability to work with large-scale datasets and optimize model performance.
- Familiarity with techniques for unsupervised learning and handling unlabeled text data.
- Skilled in evaluating model outputs and implementing improvements to enhance accuracy and efficiency.

Additional Information:
- The candidate should have minimum 8 years of experience in Large Language Models (LLMs).
- This position is based at DDC 1 - STPI.
- 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.

Skills

Deep Learning

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