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    Home/Jobs/AI Developer Specialist

    AI Developer Specialist

    Vertiv

    Pune
    4-6 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    GPT
    Python
    Machine Learning
    Deep Learning
    NLP
    TensorFlow
    PyTorch
    BERT
    AWS
    Azure
    GCP
    Docker
    Kubernetes
    Jupyter Notebook

    Description

    Vertiv is seeking an AI Developer to join the Global Customer Insights team within Marketing. The role involves designing, developing, and deploying AI and Machine Learning solutions to unlock insights from various data domains.

    Company: Vertiv

    Role: AI Developer Specialist

    Location: Pune, India

    Experience:

    • 4 to 6 years of hands-on experience applying AI/ML to real-world business or enterprise solutions

    Key Skills:

    • Python
    • Machine Learning
    • Deep Learning
    • NLP
    • TensorFlow
    • PyTorch
    • Generative AI models (e.g., GPT, BERT or similar)
    • cloud platforms (AWS, Azure, or GCP)
    • containerization (Docker/Kubernetes)
    • Jupyter Notebook
    • Git
    • MLflow
    • SQL
    • Snowflake

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field

    Role Focus:

    • Design, develop, and maintain AI/ML and predictive models to support Marketing, Pricing and Customer Insight use cases
    • Translate business challenges into AI-driven solutions
    • Ensure timely, accurate, and consistent data ingestion for marketing dashboards, reports, and analytical models
    • Perform data validation and accuracy checks across source systems and analytical platforms
    • Explain AI/ML concepts, model outcomes, and limitations clearly to business and leadership audiences
    • Promote responsible, ethical, and transparent AI practices across all solutions

    Additional responsibilities:

    • Participate in functional and solution design, including process mapping, scenario design, prototyping, testing, and support definition
    • Document solution architecture, model logic, assumptions, and lessons learned
    • Convert AI/ML models into scalable APIs for enterprise consumption
    • Perform statistical analysis and feature engineering on large, complex datasets
    • Support the full AI lifecycle: definition, development, implementation, deployment, and upgrades
    • Manage AI project infrastructure, including development, experimentation, and production workflows
    • Support data acquisition strategies to ensure required depth, breadth, and quality of data
    • Collaborate with IT and Data teams to design secure, efficient, and scalable data and AI infrastructure
    • Monitor, sustain, and report on data quality, compliance, and model performance
    • Actively collaborate across teams and geographies, building strong working relationships
    • Communicate project status, risks, and outcomes clearly to stakeholders

    Other:

    • Strong analytical, critical thinking, and problem-solving skills
    • Ability to work effectively in a matrix and global operating model
    • Excellent time management and organizational skills
    • Strong communication and presentation skills, including with non-technical stakeholders
    • Understanding of key business and financial performance metrics
    • Fluency in English (written and spoken)

    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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