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    Home/Jobs/Senior AI/ML Developer (GenAI)

    Senior AI/ML Developer (GenAI)

    EY

    Chennai
    5-8 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Agentic AI
    LangChain
    OpenAI
    Azure
    AWS
    GCP
    Python
    PySpark
    SQL
    Data Modelling
    Microservice Architecture
    Machine Learning
    Deep Learning

    Description

    EY is seeking a Senior AI/ML Developer with 5-8 years of experience to design and implement AI and Generative AI solutions across cloud platforms, collaborating with clients and stakeholders to drive business value.

    Company: EY

    Role: Senior AI/ML Developer (GenAI)

    Location: Chennai | Anywhere in Country

    Experience:

    • 5-8 years of professional experience in building and deploying AI and Gen AI solutions
    • Experience with AI/ML solution deployment on cloud platforms or on-premises

    Key Skills:

    • AI/Gen AI applications and systems design
    • Cloud platforms: Azure, AWS, GCP
    • AI/ML model building
    • Python programming
    • SQL and data modelling
    • Microservice based architecture
    • Machine learning, deep learning, NLP, GenAI
    • Authentication security in ML operations
    • Kubernetes, Web Apps, Databricks deployment
    • MLOps concepts and tech stack
    • Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT
    • Responsible AI concepts
    • Agentic frameworks (Semantic Kernel, CrewAI, LangGraph)

    Qualification:

    • BTech
    • Masters
    • PhD

    Role Focus:

    • Design and implement AI/Gen AI applications and infrastructure across major clouds
    • Collaborate with data engineers to build AI/ML models
    • Translate business and functional requirements into scalable solutions
    • Participate in architectural decisions and design AI/ML architectures
    • Set engineering best practice standards
    • Identify opportunities for generative AI to solve business problems
    • Create POCs and POVs for industry use cases
    • Write high-quality, efficient, testable code
    • Stay updated with latest AI trends and technologies
    • Facilitate design and architecture workshops
    • Mentor AI engineers in coding best practices and problem-solving

    Additional responsibilities:

    • Manage end-to-end project delivery including scoping, solutioning, designing, developing, testing, deploying, and maintaining
    • Ensure solutions meet client requirements and expectations
    • Communicate effectively with clients and internal stakeholders
    • Identify new opportunities and generate proposals
    • Present solutions and value propositions to senior stakeholders

    Nice to have:

    • Experience deploying AI/ML solutions on Azure, AWS, or Google Cloud
    • Experience with orchestration of LLM models on cloud platforms like OpenAI @ Azure, AWS Bedrock, GCP Vertex AI, Gemini AI
    • Experience with Agentic frameworks building and deployment
    • Strong programming skills in Python and/or PySpark
    • Experience integrating authentication security in ML operations
    • Proven experience with Kubernetes, Web Apps, Databricks deployment
    • Familiarity with MLOps tools like MLFlow, batch prediction, real-time endpoint workflows
    • Familiarity with Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT
    • Strong background in Azure-based AI and Data technologies
    • Knowledge of other hyperscalers

    Other:

    • Competitive salary
    • Opportunity to work with global clients and drive real business impact
    • Collaborate with AI experts, analytics leaders, and industry specialists
    • Part of EY Global Delivery Services (GDS) with a global delivery network
    • Continuous learning and development opportunities
    • Flexible work environment to make meaningful impact
    • Transformative leadership coaching and insights
    • Diverse and inclusive culture empowering individual voices
    • EY's mission to build a better working world through data, technology, and diverse teams

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

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    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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