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    Home/Jobs/AI Developer - Productivity Tools

    AI Developer - Productivity Tools

    Emerson

    Noida
    2-5 years
    Today
    ₹8–19 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Gen AI
    Machine Learning
    Deep Learning
    Python
    TensorFlow
    PyTorch
    MLOps
    Predictive Maintenance
    Anomaly Detection
    NLP
    Control Theory
    PID
    MPC
    Fuzzy Logic

    Description

    In this role, you'll help shape the future of intelligent engineering and plant operations by developing AI/ML solutions that simplify work, boost productivity, and unlock new possibilities.

    Company: Emerson

    Role: AI Developer - Productivity Tools

    Location: NOIDA, UTTAR PRADESH, India (Hybrid)

    Experience:

    • 2–5 years of hands-on experience in AI/ML model development, deployment, and optimization

    Key Skills:

    • machine learning
    • deep learning
    • generative AI
    • Python
    • TensorFlow/PyTorch
    • MLOps

    Qualification:

    • Bachelor’s degree (or equivalent experience) in Engineering, Artificial Intelligence, Data Science, Electrical/Computer Engineering, or a related field

    Role Focus:

    • developing AI/ML solutions that simplify work, boost productivity, and unlock new possibilities
    • creating smart tools that automate control logic, graphics, reporting, and workflow
    • analyzing system data to uncover patterns and build predictive tools
    • bringing Generative AI and natural language processing to life
    • designing user-friendly tools that integrate seamlessly with engineers, developers, and operators

    Nice to have:

    • strong expertise in LLMs and advanced techniques that drive automation, optimization, and decision support
    • background in power plant operations—such as boilers, turbines, combustion, and load optimization
    • knowledge of control theory (PID, MPC, fuzzy logic, multivariable control)
    • experience with Emerson Ovation DCS or similar control systems
    • familiarity with responsible AI practices—such as explainability, bias detection, and compliance

    Other:

    • We prioritize a workplace where every employee is valued, respected, and empowered to grow.
    • We foster an environment that encourages innovation, collaboration, and diverse perspectives.
    • We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more.
    • Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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