Senior Data Scientist - Generative AI Solutions

About the role

EY GDS (Data and Analytics) is looking for a highly experienced Senior Data Scientist (AI Engineer) with at least 8-11 years in data science and machine learning. The role focuses on designing and implementing AI solutions, especially those based on generative AI, LLMs and NLP, and brings together technical work with stakeholder collaboration.

Key responsibilities

• Design and implement state-of-the-art AI solutions and assist in building AI models and systems using LLMs and generative AI.
• Work with stakeholders to identify business opportunities and define AI project goals, then tailor solutions to client needs.
• Integrate with APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers, and use vector databases such as Redis and NoSQL databases.
• Build and optimize end-to-end pipelines, including similarity search, and implement CI/CD pipelines for model deployment.
• Research techniques such as transfer learning, domain adaptation and model compression, and set evaluation metrics for AI outputs.
• Curate, clean and preprocess large datasets, and ensure compliance with data privacy, security and ethical standards.

Required profile

• Bachelor's or Master's degree in Computer Science, Engineering or a related field; a Ph.D. is a plus.
• Minimum 8-11 years of experience in data science and machine learning.
• Strong collaboration with software engineering and operations teams, and excellent communication and problem-solving skills.

Required skills

• Python, R, TensorFlow or PyTorch; NLP frameworks such as BERT, GPT or Transformer models.
• Cloud platforms such as Azure, AWS or GCP.
• Data engineering: data curation, cleaning and preprocessing.
• Good to have: MIP optimization, Docker, Kubernetes, Git, Terraform or CloudFormation, and DevOps/MLOps practices.