Senior AI/ML Consultant

EY; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

EY Bengaluru seeks a Senior Consultant AI/ML with deep expertise in AI, ML, GenAI and cloud AI platforms. You will lead assessments, design transformation roadmaps, and deliver enterprise-scale AI initiatives.

You will build pipelines, deploy models, and implement Generative AI solutions using LLMs, RAG, and AI agents. Collaborate with clients and internal teams to ensure governance, security and measurable outcomes.

Qualifications

• 68 years of overall IT experience with focus on AI/ML and Generative AI solutions.
• Hands-on experience in ML model development and deployment.
• Experience with NLP, Deep Learning, and Generative AI solutions.
• Experience with LLM platforms (Azure OpenAI, OpenAI, Anthropic).
• Knowledge of RAG architectures and AI agents.
• Proficiency in Python and ML frameworks.
• MLOps and AI deployment practices.
• Experience delivering AI transformation initiatives from ideation to production.
• Strong client-facing consulting skills and communication.

Responsibilities

• Lead AI/ML assessments across client organizations.
• Design AI transformation roadmaps aligned with business goals.
• Architect and implement AI/ML solutions using generative tech.
• Build ML pipelines and deployment architectures.
• Develop Generative AI solutions with LLMs and RAG.
• Collaborate with stakeholders to gather requirements.
• Lead PoCs, pilots, and production deployments with governance.
• Create architectural diagrams and runbooks.
• Coordinate with cloud, security, data teams.
• Stay current with emerging AI frameworks and best practices.

Skills

AI/ML assessments

Solution design

Model development

NLP

Deep Learning

Generative AI

Python

MLOps

AI governance

Stakeholder management

Tools

Azure OpenAI

OpenAI

Anthropic

LangChain

Semantic Kernel

AutoGen

CrewAI

Vector Databases

Azure Machine Learning

Databricks

Job description

Job Title: Senior Consultant AI/ML

Experience: 68 Years

Job Summary

We are seeking a Senior Consultant with strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and cloud-based AI platforms. The ideal candidate will have hands‑on experience in AI/ML assessments, solution design, model development, and enterprise‑scale AI transformation initiatives. The role requires a blend of consulting, solution architecture, and technical delivery capabilities to help clients adopt and operationalize AI‑driven solutions.

Key Responsibilities

• Lead and execute AI/ML assessments to evaluate current‑state analytics, automation, and AI maturity across client organizations.
• Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption.
• Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies.
• Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures.
• Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), AI Agents, and enterprise AI frameworks.
• Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria.
• Lead proof‑of‑concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance.
• Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks.
• Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery.
• Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients.

Required Skills & Experience

• 68 years of overall IT experience with strong focus on AI, Machine Learning, Data Science, and Generative AI solutions.
• Proven, hands‑on experience in:
• Machine Learning model development and deployment
• NLP, Deep Learning, and Generative AI solutions
• LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or equivalent
• RAG architectures, Vector Databases, Prompt Engineering, and AI Agents
• Python, ML frameworks (Scikit‑Learn, TensorFlow, PyTorch)
• MLOps and AI deployment practices
• Strong experience in AI opportunity assessments and AI adoption strategies.
• Demonstrated experience delivering AI transformation initiatives from ideation through production deployment.
• Experience building enterprise AI applications, copilots, intelligent assistants, and automation solutions.
• Good understanding of AI governance, Responsible AI, security, compliance, and model monitoring.
• Strong client‑facing consulting skills with the ability to present recommendations and technical solutions.
• Excellent communication, presentation, and documentation skills.

Good to Have

• Advanced certifications in AI, Data Science, Cloud AI, or Enterprise Architecture.
• Hands‑on experience with Azure AI Foundry, Azure Machine Learning, Databricks, or equivalent AI platforms.
• Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or other agentic AI frameworks.
• Exposure to knowledge management, enterprise search, and intelligent document processing solutions.