The CT_NITRO Experimental AI Engineer at EY is responsible for leading the design, development, and deployment of advanced generative AI models, including large language models. This role involves overseeing the entire data science lifecycle and mentoring junior data scientists. The engineer will work closely with cross-functional teams to integrate AI-driven insights into products and services, ensuring that sophisticated models translate into practical solutions. The position requires a strong focus on innovation and solving complex business challenges through AI technologies.

• 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning of both structured and unstructured data.
• Experience with generative LLM fine-tuning and prompt engineering.
• Proficiency with data wrangling, visualization, and modeling in Python.
• Experience in ML/NLP algorithms, including supervised and unsupervised learning.
• Good knowledge of cloud ecosystems, preferably Azure.
• Experience with machine learning frameworks and tools such as sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, and MLlib.
• Strong programming skills in Python.
• Experience with SQL, Document DBs, and Vector DBs.
• Knowledge of containerization platforms like Docker is a plus.

• Lead the design, development, and deployment of advanced generative AI models.
• Oversee the end-to-end data science lifecycle, ensuring best practices and high-quality outcomes.
• Develop and deploy machine learning algorithms optimized for performance and scalability.
• Mentor and guide junior data scientists, fostering a collaborative environment.
• Partner with cross-functional teams to integrate AI-driven insights into products and services.
• Implement AI solutions that enhance functionality and user interaction.
• Review complex data sets to establish data quality and highlight data cleansing needs.
• Design and implement data models to manage organizational data.
• Analyze trends in cloud computing and distributed processing for business applications.
• Automate important infrastructure for the data science team.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.