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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

    OpenAI
    Gemini AI
    Gen AI
    Python
    PySpark
    Azure
    AWS
    GCP
    Semantic Kernel
    CrewAI
    LangGraph
    SQL
    MLOps
    MLFlow
    Kubernetes

    Description

    At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.

    Company: EY

    Role: Senior AI/ML Developer (GenAI)

    Location: Chennai | Anywhere in Country

    Experience:

    • 5-8 years in building and deploying AI and Gen AI solutions on-premises or on cloud platforms

    Key Skills:

    • Python
    • pyspark
    • SQL
    • data modelling
    • machine learning
    • deep learning
    • NLP
    • GenAI
    • Azure
    • AWS
    • GCP
    • Kubernetes
    • Web Apps
    • Databricks

    Qualification:

    • BTech
    • Masters
    • PhD

    Role Focus:

    • Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds
    • Collaborate with data engineers & build AI/ML models
    • Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions
    • Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
    • Set the standards for engineering best practices
    • Identify opportunities where generative AI can provide value and solve business problems
    • Write high-quality, efficient, testable code in Python and other languages

    Additional responsibilities:

    • Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining
    • Ensuring the solutions meet the client requirements and expectations
    • Communicate effectively with the clients and internal stakeholders throughout the project
    • Identify new opportunities and generate proposals for potential clients
    • Present the solutions and showcase the value proposition to senior stakeholders

    Nice to have:

    • Hand-on experience in deploying AI/ML solutions on different cloud platforms like Azure, AWS and/or Google Cloud
    • Experience in using and orchestration LLM models on cloud platforms i.e., OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI
    • Experience in Agentic frameworks building and deploying
    • Experience in writing SQL and data modelling
    • Experience in designing and implementation of AI solution using microservice based architecture
    • Understanding of machine learning, deep learning, NLP and GenAI
    • Proven experience in integrating authentication security measures within machine learning operations and applications
    • Excellent problem-solving skills and ability to connect AI capabilities to business value
    • Proven experience in AI/ML solution deployment process on Kubernetes, Web Apps, Databricks or on similar platforms
    • Familiarity with MLOps concepts and tech stack
    • Familiarity with Azure DevOps / GitHub actions/ Jenkins / Terraform / AWS CFT etc.
    • Familiarity with Responsible AI concepts
    • strong Background in Azure Based AI and Data technologies is a must
    • Knowledge of other Hyperscalars will be additional Advantage

    Other:

    • Continuous learning: You'll develop the mindset and skills to navigate whatever comes next
    • Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way
    • Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs
    • Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    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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