EY-GDS Consulting-AIA-Gen AI-Manager

At EY, we’re all in to shape your future with confidence.We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.

Experience:

10+ years

Cloud:

Microsoft Azure

Technologies:

AI/ML, Generative AI, Agentic AI, MLOps, DevOps, RDBMS, Vector Databases

Role:

We are seeking a seasoned AI Engineering Manager with extensive experience in AI/ML, MLOps, and DevOps. This role involves leading a team of AI/ML engineers and data scientists to develop innovative machine learning solutions, while collaborating closely with clients to deliver tailored AI/ML applications.

Responsibilities:

• Lead and manage a team of AI/ML engineers and data scientists in developing cutting-edge machine learning solutions.
• Collaborate with clients to understand their requirements and deliver customized AI/ML solutions that meet their business needs.
• Design, implement, and optimize machine learning models using Python and relevant libraries.
• Oversee project timelines, resource allocation, and team performance to ensure successful project delivery.
• Utilize Azure cloud services for deploying, scaling, and maintaining AI/ML applications.
• Establish and manage MLOps and DevOps practices, including CI/CD pipelines, containerization, and orchestration.
• Mentor team members and foster a culture of continuous learning, innovation, and improvement.
• Stay updated with industry trends and advancements in AI/ML technologies to drive strategic initiatives.
  

Technical Knowhow:

• 10+ years of experience in AI/ML, with a strong focus on machine learning, Generative AI, and agentic AI.
• Proven experience in managing teams and building strong client relationships.
• Proficiency in Python, along with experience in implementing frameworks such as LangChain, LangGraph, and Autogen.
• Strong knowledge of database technologies (SQL, NoSQL) and data management practices.
• Familiarity with Azure cloud services and deployment strategies, including MLOps and DevOps methodologies.
• Experience with vector databases and their application in AI solutions.
  

Good to Have:

• Knowledge of responsible AI practices, governance, and compliance.
• Experience in delivering enterprise-scale AI solutions and managing complex projects.
  

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.