Jobs
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 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language. Your typical day will involve collaborating with cross-functional teams to define model specifications, experimenting with various neural network architectures, and analyzing the performance of models trained on extensive datasets. You will also be responsible for troubleshooting and optimizing model performance, ensuring that the solutions you develop meet the highest standards of accuracy and efficiency. Your role will be pivotal in advancing the capabilities of natural language processing technologies within the organization.
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 data scientists and engineers to refine model architecture and improve performance.
- Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Strong understanding of neural network architectures and their applications in natural language processing.
- Experience with training models on large datasets and optimizing for performance.
- Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch.
- Knowledge of data preprocessing techniques and their impact on model training.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models.
- This position is based at our Hyderabad 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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About Accenture

Accenture
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Dublin
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Pros
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Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
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L2 · Business Analyst L2
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Duration
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Offer Rate
17%
Experience
Positive 0%
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1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
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Past Experience
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