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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Cargill

    Bengaluru
    2-3 years
    53 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

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

    Description

    The AI Engineer will design and build AI-enabled solutions that enhance Data Management and Data Governance capabilities across Cargill. In this role, you will apply machine learning, generative AI, and automation to improve data quality, metadata management, master data, data classification, lineage, and governance workflows—helping ensure data is trusted, compliant, and business-ready.

    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

    Role Focus: • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of moderately complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies • DATA ANALYSIS: Reviews moderately complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas • MODEL DEVELOPMENT: Implements and deploys artificial intelligence models, including review of ongoing performance to solve moderately complex business problems and derive actionable insights • AI ENGINEERING: Applies software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications • DOCUMENT & REPORTING: Collaborates documenting development and code in ways that allow for support and knowledge sharing • COMMUNICATION: Communicates techniques and results to technical and non-technical audiences • CONTINUOUS LEARNING: Supports examination of existing and emerging artificial intelligence and optimization principles, theories, and techniques to deploy artificial intelligence and optimization models into production, improving the organization’s analytical capabilities • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and supports collaboration with cross functional teams to implement artificial intelligence models for digital applications

    More skills:

    data quality, metadata management, master data, data classification, lineage, governance workflows

    Other:

    • Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect
    • Cargill’s long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law

    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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