Artificial Intelligence and Machine Learning Engineer

EY-GDS Consulting-AIA- Gen AI -Senior

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. 

 

 

 

 

Experience: 4–7 years

Cloud: Microsoft Azure/ AWS/GCP

Technologies: AI/ML, Generative AI, Agentic AI, RDBMS, Vector Databases

Role
We are seeking an experienced AI/ML Engineer with expertise in designing and deploying cutting-edge AI solutions that leverage the power of AI-ML, Generative AI, and agentic AI across multiple cloud platforms, including Azure, AWS, and GCP, while providing leadership in solution design and best practices.

Responsibilities

• Develop and deploy advanced AI solutions utilizing Azure Machine Learning or AWS SageMaker or GCP Vertex AI, and associated services such as Azure Cognitive Services, AWS rekognition, and GCP Natural Language API.
• Build, fine-tune, and deploy Generative AI models (LLMs, multimodal, diffusion).
• Integrate and optimize agentic AI frameworks for automation and orchestration.
• Implement and manage vector databases for semantic search and retrieval.
• Collaborate with stakeholders to deliver scalable enterprise AI solutions.
• s Contribute technical leadership and mentor team members when needed.

Requirements

• 4–7 years of proven AI/ML engineering experience.
• • Strong expertise in the Azure AI/ML ecosystem.
  • Strong coding skills in Python and experience with machine learning libraries & Basic knowledge of database technologies (SQL, NoSQL) and data handling.
  • Hands-on experience with Generative AI and agentic AI frameworks.
  • Must-have experience with vector databases (Azure AI Search, Pinecone, FAISS, Weaviate, etc).
  • Proficiency in Python along with frameworks such as LangChain, LangGraph, Autogen, Semantic kernel, Azure AI foundry
  • Strong problem-solving and solution architecture skills.

 

Good to Have

• Knowledge of responsible AI, governance, and compliance.
• Experience with enterprise-scale AI solution delivery.

 

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

Experience Level

Senior Level