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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Cargill

    Bengaluru
    2-3 years
    Today
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    Gen AI
    Machine Learning
    Automation
    Data Management
    Data Governance
    Data Engineering
    AI

    Description

    The AI Engineer will design and build AI-enabled solutions that enhance Data Management and Data Governance capabilities across Cargill.

    Company: Cargill

    Role: AI/ML Engineer

    Location: Bengaluru, India

    Experience:

    • 2 years of relevant work experience
    • Typically reflects 3 years or more of relevant experience

    Key Skills:

    • machine learning
    • generative AI
    • automation
    • data quality
    • metadata management
    • master data
    • data classification
    • lineage
    • governance workflows

    Role Focus:

    • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of moderately complex data from different data sources
    • DATA ANALYSIS: Reviews moderately complex data sets for exploratory data analysis to identify trends and patterns
    • MODEL DEVELOPMENT: Implements and deploys artificial intelligence models
    • AI ENGINEERING: Applies software and artificial intelligence engineering patterns and principles
    • DOCUMENT & REPORTING: Collaborates documenting development and code
    • COMMUNICATION: Communicates techniques and results to technical and non-technical audiences
    • CONTINUOUS LEARNING: Supports examination of existing and emerging artificial intelligence and optimization principles
    • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs

    Other:

    • Job ID 321683
    • Date posted 01/30/2026
    • Job Status: Salaried Full Time
    • Category: DIGITAL TECHNOLOGY AND DATA (DT&D)

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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