EY's Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to clients, solving challenging problems that have not been solved before.
Requirements
- Strong skills in Python
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
- Experience with natural language processing and deep learning
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
Responsibilities
- Research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises.
- Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
- Monitor and evaluate learning processes to continuously improve high-performance models.
- Collaborate with other data and analytics professionals to industrialize analysis into effective analytics solutions.
- Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
- Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
- Deliver the latest data science and big data technologies.
Other
- A Bachelor’s degree required (4-year degree).
- 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
- 2-4 years of experience directly managing technical teams
- Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
