Senior Data Scientist

About the job

Job Description: EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. Responsibilities: Your technical responsibilities: • Contribute to the design and implementation of state-of-the-art AI solutions. • Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. • Collaborate with stakeholders to identify business opportunities and define AI project goals. • 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.

Requirements

• NLP
• Generative AI
• MLOps
• Optimization techniques
• AI solution Architecture

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Ph.D. is a plus

Preferred Technologies

• NLP
• Generative AI
• MLOps
• Optimization techniques
• AI solution Architecture

About the company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.