Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage.
Requirements
- Minimum of 7 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
- Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models.
- Minimum of 7 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space.
- Minimum of 7 years of working knowledge and familiarity with different LLM driven application architecture patterns.
- Minimum of 7 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
- Minimum of 7 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture.
- Minimum of 7 years of proven experience with processor and system-level performance modelling.
Responsibilities
- You lead teams and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
- As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem.
- You will direct/influence research direction & set strategic research priorities for short-term & long-term workstreams
- Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems.
- Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques.
- Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks.
- Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development.
Other
- As an Advanced AI Research Scientist Associate Director, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems.
- You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).
- As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
- You will also work collaboratively with teams & leaders from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
- Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
