Senior GenAI Engineer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network operating across nine locations worldwide, including Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain, and the United Kingdom. It works with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of EY's growth strategy. Employees collaborate on projects with well-known global brands and gain access to a broad ecosystem of people, learning, skills, and insights.

• Minimum 3 years of experience in Data Science and Artificial Intelligence.
• Knowledge and experience in Generative AI (GenAI) including Agentic AI.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, pandas, or Scikit-Learn.
• Experience with at least one framework such as LangChain, LangGraph, AutoGen, or Semantic Kernel.
• Strong understanding of Natural Language Processing (NLP) techniques including tokenization, string comparison, and embeddings.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to have:

• Hands-on experience with tools like Docker, Kubernetes, Git, or Azure DevOps.
• Experience in implementing MLOps practices, including CI/CD and monitoring of AI.
• Knowledge of trusted AI practices ensuring fairness, transparency, and accountability.
• Excellent problem-solving and analytical skills with ability to translate business requirements into technical solutions.

• Design and implement new AI approaches and solutions, particularly in Generative AI and LLM-based architectures.
• Experiment with cutting-edge AI architectures and drive innovation in AI use cases.
• Collaborate with software engineering and operations teams for AI model integration and deployment.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Build and manage AI pipelines including CI/CD and MLOps practices.