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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Bengaluru
    5-10 years
    12 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Python
    GCP
    Vertex AI Platform
    Cloud Engineering
    Apache Airflow
    ML Pipelines

    Description

    As Senior AI Engineer, you are a critical member of the AI and Automation group focused on leading efforts in migrating Agentic AI based solutions from concept to production-level operational excellence.

    Role: AI / ML Engineer

    Location: Bengaluru

    Experience:

    • 5-10 years
    • At least 3 years professional experience as a software engineer, integration engineer, ML Engineer, AI Engineer or data scientist

    Qualification:

    • Bachelor's degree in a quantitative field (CS, engineering, statistics, math, data science)
    • 15 years full-time education

    Role Focus: • Operationalizing key strategic ML models • Research and operationalize new tools, frameworks, and platforms technology and processes necessary to scale AI Solutions • Building, maintaining and troubleshooting Agentic custom connectors, custom actions and other associated integration work • End-to-end responsibility for operationalizing ML Dev Ops tools and processes • Creating and maintaining production and lower environments (stage, QA, development) • Creating and operationalizing quality assurance processes for ML models • Ownership of cloud security compliance • Monitoring and optimizing cloud spend • Optimizing deployment and change control processes for models

    More skills:

    Large Language Models (LLMs), GenAI models, deep learning, neural networks, chatbots, image processing, Communication protocols (e.g. MCP)

    Other:

    • Experience integrating third-party products such as SalesForce, ServiceNow, SAP, OneTrust, and Workday with GCP pipelines
    • Background in at least one Agentic AI platform preferred with a specific preference for Glean
    • Ability to mentor others and lead the team in technology and best practices

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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