3 days ago
Chennai, IndiaStaff+
Responsibilities
- Lead the development and optimization of large language model architectures.
- Design neural-network configurations and tune parameters for natural language understanding and generation.
- Process large-scale unlabeled text datasets and optimize machine-learning models.
- Evaluate and refine model architectures to meet performance and scalability requirements.
- Collaborate with cross-functional teams to integrate language models into broader systems.
- Provide subject-matter expertise, advisory support, and solutions applicable across multiple teams.
- Make team and cross-team technical decisions.
- Mentor junior team members and support their professional growth.
Requirements
- Minimum 15 years of experience in Large Language Models.
- 15 years of full-time education.
- Proficiency in Large Language Models, API Testing, Python Frameworks, Generative AI, and Agentic AI.
- Strong expertise in neural-network design and tuning for natural language processing.
- Experience handling large-scale data and unlabeled text datasets.
- Ability to implement and optimize machine-learning models for language understanding and generation.
- Familiarity with state-of-the-art artificial intelligence techniques and deep-learning frameworks.
- Ability to collaborate effectively with cross-functional teams.
Benefits
- The position is based at the CDC2F - SEZ location.
Tech Stack
Categories
AI ResearchML Engineering
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.