2 days ago
Pune, IndiaSenior
Responsibilities
- Fine-tune and adapt large language models for instruction and domain-specific performance.
- Lead development and deployment of model fine-tuning strategies.
- Design and implement scalable APIs for model integration and deployment.
- Develop and optimize prompt engineering strategies.
- Evaluate and monitor model performance and implement continuous improvements.
- Coordinate integration of model improvements into production environments.
- Act as a subject-matter expert, make team decisions, and provide solutions across multiple teams.
- Mentor team members and facilitate knowledge sharing.
- Collaborate with data scientists and engineers to translate business requirements into technical solutions.
Requirements
- At least 3 years of professional experience is required.
- At least 7.5 years of experience with Large Language Models is stated in the additional requirements.
- Proficiency in Large Language Models, Generative AI, API Management, Prompt Engineering, Agentic AI, and Python frameworks.
- Strong expertise in fine-tuning large-scale language models, especially instruction fine-tuning and domain adaptation.
- Experience designing and implementing scalable API solutions.
- Ability to optimize prompts for model responsiveness and accuracy.
- Familiarity with model evaluation metrics and performance monitoring tools.
- 15 years of full-time education is required.
Benefits
- The position is based at the Accenture office in Chennai.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.