1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the development and implementation of innovative large language model architectures.
- Design and optimize neural network architectures for natural language processing tasks.
- Develop models using large-scale unlabeled text datasets and scalable computing environments.
- Evaluate model performance, improve generalization, reduce bias, and refine models based on findings.
- Provide cross-team technical solutions, advisory guidance, and business-area problem solving.
- Make decisions across multiple teams and translate stakeholder needs into LLM-based technical solutions.
- Share knowledge and mentor team members.
Requirements
- At least 18 years of experience in Large Language Models (LLMs).
- Proficiency in Large Language Models (LLMs).
- Experience designing and optimizing neural network architectures for natural language processing tasks.
- Strong understanding of training methodologies using large-scale unlabeled text datasets.
- Familiarity with techniques for improving model generalization and reducing bias in language generation.
- Ability to evaluate model performance using relevant metrics and implement improvements.
- Knowledge of scalable computing environments and distributed training frameworks for large models.
- 15 years of full-time education.
Benefits
- Position based at BDC14A - STPI.
Categories
AI Research
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.