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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Pune
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    Azure OpenAI
    LangChain
    LLMOps
    multi-agent frameworks
    TensorFlow
    PyTorch
    AWS
    Azure
    GCP
    NLP
    App Service
    Kubernetes

    Description

    As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions that incorporate generative AI models. You will work collaboratively with cross-functional teams to ensure the seamless integration of AI technologies into existing systems, while also focusing on optimizing performance and enhancing user experience.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • 5-10 years of experience
    • Minimum 5 year(s) of experience is required
    • 7.5 years of experience in Generative AI

    Key Skills:

    • Generative AI
    • Deep learning
    • Neural networks
    • Chatbots
    • Image processing
    • TensorFlow
    • PyTorch
    • AWS
    • Azure
    • Google Cloud
    • Natural language processing

    Qualification:

    • 15 years full time education

    Role Focus:

    • Develops applications and systems that utilize AI tools, Cloud AI services
    • Apply GenAI models as part of the solution
    • Collaborate and manage the team to perform
    • Responsible for team decisions
    • Engage with multiple teams and contribute on key decisions
    • Provide solutions to problems for their immediate team and across multiple teams
    • Facilitate knowledge sharing and mentoring within the team to enhance overall skill levels
    • Evaluate and implement new technologies and methodologies to improve project outcomes

    Additional responsibilities:

    • Expertise in architecting and delivering enterprise GenAI solutions, RAG, multi-agent frameworks
    • Hands-on with Azure OpenAI
    • Build and deploy cloud-native AI on Azure (App Service, Kubernetes, AKS,Key Vault, MLOps, LLMOps, evaluation frameworks, observability.GitLab, Ansible, Good knowledge of SQL

    Other:

    • This position is based at our Pune office

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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