At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Data Science LLM and AI - Tech Lead 

Required Skills

• Hands-on experience in developing LLM-based applications for both front-end and back-end development.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/ GCP, Databricks, Apache Spark).
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies.
• Experience in the health sector preferred.

Communication and collaboration

• Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers, engineers, and product managers. 
• Communicate complex ideas and technical concepts clearly to stakeholders and team members supported by Large Language Model (LLM) technology.
• Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality. 

Roles and Responsibilities:  

• Understand existing application architecture and solution design
• Design individual components and develop the components
• Work with other architects, leads, team members in an agile scrum environment
• Hands on development
• Design and develop applications that can be hosted on Azure cloud
• Design and develop framework and core functionality
• Identify the gaps and come up with working solutions
• Understand enterprise application design framework and processes
• Lead or Mentor junior and/or mid-level developers
• Review code and establish best practices
• Look out for latest technologies and match up with EY use case and solve business problems efficiently
• Ability to look at the big picture
• Proven experience in designing highly secured and scalable web applications on Azure cloud
• Keep management up to date with the progress
   

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