Generative AI Engineer

Role Overview

Join EY as a Generative AI Engineer in Hyderabad, contributing to innovative AI and machine learning deployments across major cloud platforms such as Azure, AWS, and Google Cloud. EY is committed to creating long-term value for clients and society by leveraging technology and data, with teams working in over 150 countries to address complex challenges.

Key Responsibilities

• Deploy AI and ML solutions on cloud services including Azure, AWS, and Google Cloud Platform.
• Operate and orchestrate large language models using cloud services like OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI.
• Develop and deploy agentic frameworks such as Semantic Kernel, CrewAI, and LangGraph.
• Write SQL and perform data modeling to support AI solutions.
• Design and implement AI solutions utilizing microservice architectures.
• Integrate security and authentication protocols within machine learning operations and applications.
• Deploy AI/ML solutions on platforms such as Kubernetes, Web Apps, and Databricks.
• Apply MLOps practices, including code versioning, MLflow usage, and managing batch prediction and real-time endpoints.
• Use CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, Terraform, and AWS CloudFormation.
• Incorporate principles of Responsible AI in development processes.

Required Qualifications and Skills

• Deep understanding of machine learning, deep learning, natural language processing, and generative AI.
• Proficient programming skills in Python and/or PySpark.
• Strong background in Azure AI and data technologies is essential.
• Experience with other hyperscale cloud platforms is a plus.

Desired Skills

• Excellent problem-solving capabilities with a focus on linking AI advancements to business outcomes.
• Strong communication and presentation abilities.

Additional Information

Eligible applicants include any graduate. The position is based in Hyderabad, and candidates will be working onsite.