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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
    Python
    PySpark
    Azure
    AWS
    GCP
    LangGraph
    SQL
    MLOps
    MLFlow
    Kubernetes
    Databricks
    Terraform
    Azure DevOps

    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:

    • Competitive salary
    • Continuous learning opportunities
    • Success as defined by you
    • Transformative leadership
    • Diverse and inclusive culture

    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.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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