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EY GDS – Data and Analytics (D&A) – Datascience Gen AI_ Nvidia-Senior

We are seeking an accomplished and visionary Data Scientist with minimum 4 Years of experience in Data Science and Machine learning, preferable experience around NLP, Generative AI, LLMs, MLOps, Optimization techniques and AI solution Architecture to lead our AI team and drive the strategic direction of AI initiatives. The roles requires you to have a deep understanding of the Nvidia Architecture & has implemented engagements using the Nvidia AI/ GEN AI framework/ stack.In this role you will play a key role in the development and implementation of AI solutions leveraging your technical expertise and leadership skills in the Nvidia Stack

• Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions.
• Design and implement AI/Gen AI applications, systems, and infrastructure across in the Nvidia AI Stack. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance using the Nvidia Stack
• Drive the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI using Nvidia Stack
• Drive deployment of AI/ML solutions in the Nvidia cloud platforms, orchestration LLM models on cloud platforms i.e., OpenAI @ Nvidia stack
• Leverage your experience in using Nvidia LLM Stack, Nemo Framework, Tensor RT for solving business problems
• Deployment of Open source LLMs models using NVIDIA NIM framework
• Leverage using RIVA Framework for solving business problems
• Collaborate with stakeholders to identify business opportunities, define AI project goals, and prioritize initiatives based on strategic objectives.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Good to Have Skills :

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Experience on Optimization tools and techniques(MIP etc).
• Drive DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines and automate model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git for building and managing AI pipelines.
• Apply infrastructure as code (IaC) principles using tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure the performance and reliability of deployed AI models.
• Collaborate with software engineering and operations teams to ensure seamless integration and deployment of AI models.

Your client responsibilities:

• Work for managing the successful design, execution, and measurement of data initiatives across customer-facing engagements
• Communicate with internal stakeholders to make recommendations based on data
• Sort out business problems to translate into analytical questions to simplify and accelerate the solution development. s
• Balancing excellent business communication skills with a deep analytical understanding is needed
• Run Scrum calls for team. Manage client delivery.
• Applying data Science, ML algorithms, using standard statistical tools and techniques for solving client business problems.
• Communicate and manage relationships with the onsite Program Manager.
• Regular status reporting to Management and onsite coordinators.
• Advocate for GDS work, work on innovative work/PoC’s and showcase to Onsite stakeholders to convince them to get more business.
• Interface with the customer representatives as and when needed
• Willing to travel to the customer’s locations on need basis within India and outside India.

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.