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    Home/Jobs/AI Foundations Pod Member

    AI Foundations Pod Member

    Caterpillar

    Bengaluru / Chennai
    3-5 years
    18 days ago
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    RAG
    Prompt Engineering
    Python
    SQL
    Machine Learning
    Data Science

    Description

    Join Caterpillar as an AI Foundations Pod Member, contributing to data science, machine learning, and Generative AI solutions that shape a better world.

    Company: Caterpillar

    Role: AI Foundations Pod Member

    Location: Bangalore, Karnātaka / Chennai, Tamil Nādu, India

    Qualification:

    • Bachelor’s degree in engineering, computer science, data science, mathematics, statistics, or a related field
    • Advanced degree (Master’s or PhD) in artificial intelligence, machine learning, engineering, mathematics, physics, or a closely related field is considered an advantage

    Role Focus: • Design, build, test, and iterate on data science, machine learning, and Generative AI solutions • Perform data exploration, feature engineering, model training, evaluation, and validation • Implement scalable and maintainable solutions aligned with enterprise architecture and standards • Contribute production-ready code, notebooks, pipelines, and model artifacts • Execute assigned work items to meet sprint and increment commitments • Balance experimentation with delivery • Identify and communicate technical risks and assumptions • Support operational readiness through testing, documentation, and handover activities

    Additional responsibilities:

    • Work closely with the Data Science Pod Lead to align technical work with pod-level direction and priorities
    • Partner with AI Product Owners to understand business problems and success metrics
    • Collaborate with platform, data engineering, MLOps, and software engineering teams
    • Communicate analytical findings, model behavior, and recommendations to stakeholders
    • Ensure models and analytics meet quality, performance, security, reliability, and compliance standards
    • Apply Responsible AI principles throughout the solution lifecycle
    • Produce and maintain technical documentation, experiments, and traceability artifacts

    More skills:

    notebooks, ML frameworks, Agile Delivery, Communication & Collaboration

    Other:

    • Knowledge of the software development life cycle
    • Ability to work within a structured methodology for delivering and maintaining data science and AI solutions
    • Knowledge of AI and Generative AI concepts, risks, and opportunities
    • Ability to govern and guide AI product development to achieve business outcomes while adhering to responsible AI principles
    • Programming literacy in AI-related languages (e.g., Python, R, etc.)
    • Knowledge of technical troubleshooting approaches, tools, and techniques

    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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