About the job
Accenture is hiring an LLM Model Developer for its Hyderabad team. The role focuses on adapting Large Language Models for specific domains and use cases through instruction fine-tuning and domain adaptation.
You will work with LLMs and Generative AI models, analyze model behaviour, improve model performance and develop fine-tuning approaches. The role also involves working with large datasets, machine learning frameworks and distributed computing environments.
The position requires 15 years of full-time education. Accenture’s listing states a minimum of 3 years of overall experience and separately mentions 5 years of experience in Large Language Models.
What You’ll Do
- Develop and implement fine-tuning strategies to improve LLM performance.
- Adapt language models for specific domains and instructions.
- Analyze model outputs and identify areas for improvement.
- Work with large-scale datasets and domain-specific language model adaptation.
- Improve model contextual understanding and relevance.
- Work with cross-functional teams to align model development with project requirements.
- Support knowledge sharing and mentor team members.
- Contribute to technical decisions and provide solutions across teams.
What You Need
- Minimum 3 years of professional experience.
- Strong experience with Large Language Models (LLMs) and Generative AI.
- Understanding of natural language processing and model fine-tuning methods.
- Experience working with large-scale datasets and domain-specific model adaptation.
- Ability to analyze model behaviour and improve contextual performance.
- Familiarity with programming languages and machine learning frameworks.
- Understanding of distributed computing environments and model training workflows.
- 15 years of full-time education.
Experience Note
The job listing states a minimum of 3 years of overall experience. Its additional information separately says the candidate should have at least 5 years of experience in Large Language Models. Candidates should therefore treat 5 years of LLM experience as the more specific requirement when assessing their fit.
Before You Apply
- Make sure your resume clearly shows your hands-on LLM and Generative AI experience.
- Highlight work involving instruction fine-tuning, domain adaptation or LLM performance improvement.
- Include relevant NLP, machine learning frameworks, programming and distributed computing experience.
- Show examples where you analyzed model outputs and improved model behaviour or contextual performance.
- Clearly mention your total experience and specific LLM experience because the posting gives separate experience requirements.
Skills
Large Language Models (LLMs), Generative AI, Natural Language Processing, Model Fine-Tuning, Machine Learning, Python, Distributed Computing, Data Engineering
Job Details
Skills
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JobsInHyd does not guarantee hiring outcomes.About Accenture
Accenture is a global professional services company providing services across technology, consulting, operations, cloud, data and AI. The company works with clients across more than 120 countries.
Accenture is hiring an LLM Model Developer for its Hyderabad team. The role focuses on adapting Large Language Models for specific domains and use cases through instruction fine-tuning and domain adaptation.
You will work with LLMs and Generative AI models, analyze model behaviour, improve model performance and develop fine-tuning approaches. The role also involves working with large datasets, machine learning frameworks and distributed computing environments.
The position requires 15 years of full-time education. Accenture’s listing states a minimum of 3 years of overall experience and separately mentions 5 years of experience in Large Language Models.
What You’ll Do
- Develop and implement fine-tuning strategies to improve LLM performance.
- Adapt language models for specific domains and instructions.
- Analyze model outputs and identify areas for improvement.
- Work with large-scale datasets and domain-specific language model adaptation.
- Improve model contextual understanding and relevance.
- Work with cross-functional teams to align model development with project requirements.
- Support knowledge sharing and mentor team members.
- Contribute to technical decisions and provide solutions across teams.
What You Need
- Minimum 3 years of professional experience.
- Strong experience with Large Language Models (LLMs) and Generative AI.
- Understanding of natural language processing and model fine-tuning methods.
- Experience working with large-scale datasets and domain-specific model adaptation.
- Ability to analyze model behaviour and improve contextual performance.
- Familiarity with programming languages and machine learning frameworks.
- Understanding of distributed computing environments and model training workflows.
- 15 years of full-time education.
Experience Note
The job listing states a minimum of 3 years of overall experience. Its additional information separately says the candidate should have at least 5 years of experience in Large Language Models. Candidates should therefore treat 5 years of LLM experience as the more specific requirement when assessing their fit.
Before You Apply
- Make sure your resume clearly shows your hands-on LLM and Generative AI experience.
- Highlight work involving instruction fine-tuning, domain adaptation or LLM performance improvement.
- Include relevant NLP, machine learning frameworks, programming and distributed computing experience.
- Show examples where you analyzed model outputs and improved model behaviour or contextual performance.
- Clearly mention your total experience and specific LLM experience because the posting gives separate experience requirements.
Skills
Large Language Models (LLMs), Generative AI, Natural Language Processing, Model Fine-Tuning, Machine Learning, Python, Distributed Computing, Data Engineering