Jobs Companies Accenture Large Language Model Architect

À propos de ce poste Large Language Model Architect chez Accenture

Accenture · Sur site · Bengaluru
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 : Databricks Unified Data Analytics Platform
Good to have skills : Data Science, Machine Learning (ML)
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

AI Powered Tech Talent

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 careful planning of neural network configurations and managing extensive datasets to ensure the models perform effectively. The position demands continuous evaluation and refinement of model architectures to meet evolving project goals, while coordinating with various stakeholders to align technical solutions with broader objectives. Creativity and strategic thinking are essential to develop innovative approaches that push the boundaries of natural language processing capabilities.

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 implementation of scalable language model architectures.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to ensure alignment of technical strategies with project requirements.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Good To Have Skills: Experience with Data Science, Machine Learning (ML).
- Strong understanding of neural network design and optimization techniques.
- Experience in handling large-scale datasets and distributed computing environments.
- Familiarity with natural language processing frameworks and tools.
- Ability to troubleshoot and resolve complex technical challenges related to model training and deployment.

Additional Information:
- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.
- 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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