LLM Model Developer

Accenture in India

Khordha

On-site

INR 1,800,000 - 2,800,000

Full time

14 days+

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Job summary

Accenture in India, Bhubaneswar office, is seeking an LLM Model Developer to refine and adapt large language models for domain-specific instructions. You will focus on improving context-aware responses and ensuring alignment with use cases.

The role emphasizes instruction tuning, prompt engineering, and scalable model deployment, with a minimum of 3 years in Generative AI and related fields.

Qualifications

  • Must Have: Generative AI, API Management, LLMs, Python Frameworks, Agentic AI, Prompt Engineering.
  • Strong experience in fine-tuning and adapting LLMs to specific domains and instructions.
  • Familiarity with NLP techniques and model evaluation metrics.
  • Ability to design scalable solutions for model deployment and integration.
  • Experience with data preprocessing and augmentation for model training.
  • 3+ years of Generative AI experience.

Responsibilities

  • Perform independent work and become an SME in LLM fine-tuning.
  • Participate actively in team discussions and provide solutions.
  • Collaborate with cross-functional teams to translate requirements into fine-tuning strategies.
  • Monitor and evaluate model performance; implement improvements.
  • Document methodologies and results for reproducibility.
  • Mentor junior team members in model development tasks.

Skills

Generative AI
Large Language Models
Python Frameworks
API Management
Agentic AI
Prompt Engineering

Education

15 years full time education

Job description

Project Role : LLM Model Developer
Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
Must have skills : Generative AI, Large Language Models (LLMs), Python Frameworks, API Management, Agentic AI, Prompt Engineering
Good to have skills : NA
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:

As an LLM Model Developer, your day involves refining and adapting large language models to better suit specific domains and instructions. You will focus on enhancing the model's ability to understand and generate contextually relevant responses, ensuring that the outputs align closely with the intended use cases. This role requires continuous experimentation and adjustment to improve model accuracy and applicability, working closely with various teams to integrate these models effectively into broader systems and applications.

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 gather requirements and translate them into model fine-tuning strategies.
  • Monitor and evaluate model performance, identifying areas for improvement and implementing necessary adjustments.
  • Document methodologies and results to support knowledge sharing and reproducibility.
  • Assist junior team members by providing guidance and support in model development tasks.
Professional & Technical Skills:
  • Must To Have Skills: Proficiency in Generative AI, API Management, Large Language Models (LLMs), Python Frameworks, Agentic AI, Prompt Engineering.
  • Strong experience in fine-tuning and adapting large language models to specific domains and instructions.
  • Familiarity with natural language processing techniques and model evaluation metrics.
  • Ability to design and implement scalable solutions for model deployment and integration.
  • Experience with data preprocessing and augmentation to enhance model training.
  • Capability to troubleshoot and optimize model performance in production environments.
Additional Information:
  • The candidate should have minimum 3 years of experience in Generative AI.
  • This position is based at our Bhubaneswar office.
  • A 15 years full time education is required.
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