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    Home/Jobs/AI / ML Developer

    AI / ML Developer

    MindInventory

    Ahmedabad
    3-6 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    LLM
    RAG
    Python
    Keras
    NLTK
    PyTorch
    Scikit-learn
    spaCy
    Machine Learning
    Computer Vision
    NLP

    Description

    We are seeking an AI/ML Developer to join our team at MindInventory. As an AI/ML Developer, you will be responsible for building innovative and scalable digital solutions using AI, machine learning, data, and cloud technologies.

    Company: MindInventory

    Role: AI / ML Developer

    Location: Ahmedabad

    Experience:

    • Minimum of 3+ years of experience in AI-based application development
    • Experience fine-tuning large language models (LLMs) or working with domain-specific AI models
    • Experience building production-grade AI applications using RAG, AI agents, or multi-agent systems
    • Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services

    Key Skills:

    • Python
    • Keras
    • NLTK
    • PyTorch
    • Scikit-learn
    • spaCy
    • Computer Vision
    • Generative AI
    • Machine Learning
    • NLP

    Role Focus:

    • Building innovative and scalable digital solutions using AI, machine learning, data, and cloud technologies
    • Fine-tuning large language models (LLMs) or working with domain-specific AI models
    • Building production-grade AI applications using RAG, AI agents, or multi-agent systems
    • Deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services

    Nice to have:

    • Contributions to open-source AI projects
    • Research publications
    • Participation in AI communities

    Other:

    • Proficiency in Python (libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow)
    • Strong understanding of machine learning (ML) and deep learning (DL) algorithms
    • Hands-on experience with computer vision techniques (image classification, object detection, and segmentation)
    • Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models
    • Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise

    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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