Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EY

Senior Consultant – Gen AI

EY

. Design and implement AI solutions utilizing Azure ML, Cognitive Services, OpenAI, Cognitive Search, and Data Services.

Posted 4/21/2026full-timeNoida • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
AzureDockerKubernetesNoSQLPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Competitive salary
  • Professional development opportunities

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI solutionsGenerative AILLMsmultimodal modelsdiffusion modelsMLOpsPythonmachine learning librariesvector databasesdatabase technologies
Soft Skills
technical leadershipmentorshipproblem-solvingsolution architecture