EY - GDS Consulting - AIA - Gen AI - Senior
at Ernst & Young
Posted 21 hours ago
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- Compensation
- Not specified
- City
- Chennai
- Country
- India
Currency: Not specified
Senior AI Engineer role focusing on designing and deploying AI/ML solutions on Microsoft Azure, with emphasis on Generative AI and agentic AI. Leads solution architecture, MLOps, and DevOps practices, and mentors team members. Responsibilities include building AI solutions using Azure ML, OpenAI, cognitive services, vector databases, and semantic search; ensuring model performance, scalability, and collaboration with stakeholders to deliver enterprise AI solutions. 4–10 years of AI/ML experience required; located in Chennai, India.
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Experience: 4–10 years
Cloud: Microsoft Azure
Technologies: AI/ML, Generative AI, Agentic AI, RDBMS, Vector Databases, MLOps, DevOps
Role: We are seeking a skilled AI Engineer with a strong background in AI/ML and expertise in Azure AI services. This role focuses on designing and deploying innovative AI solutions that leverage AI/ML, Generative AI, and agentic AI technologies, while providing leadership in solution architecture, MLOps, and DevOps practices.
Responsibilities:
- Design and implement AI solutions utilizing Azure ML, Cognitive Services, OpenAI, Cognitive Search, and Data Services.
- Develop, fine-tune, and deploy Generative AI models, including LLMs, multimodal models, and diffusion models.
- Integrate and optimize agentic AI frameworks to enhance automation and orchestration processes.
- Implement and manage vector databases to support semantic search and retrieval functionalities.
- Establish and maintain MLOps pipelines for continuous integration and deployment of machine learning models.
- Monitor and optimize model performance in production, ensuring reliability and scalability.
- Collaborate with cross-functional stakeholders to deliver scalable enterprise AI solutions.
- Provide technical leadership and mentorship to team members as needed.
Requirements:
- 4–10 years of proven experience in AI/ML engineering.
- Strong expertise in the Azure AI/ML ecosystem.
- Proficient coding skills in Python, with experience in machine learning libraries.
- Basic knowledge of database technologies (SQL, NoSQL) and data handling practices.
- Hands-on experience with Generative AI and agentic AI frameworks.
- Must-have experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS, Weaviate).
- Proficiency in Python, along with frameworks such as LangChain, LangGraph, and Autogen.
- Strong understanding of MLOps principles, including model versioning, monitoring, and lifecycle management.
- Hands-on experience in MLOps and DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
- Strong problem-solving abilities and solution architecture skills.
Good to Have:
- Knowledge of responsible AI practices, governance, and compliance.
- Experience in delivering enterprise-scale AI solutions.
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.
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