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    Home/Jobs/Advanced AI Engineer

    Advanced AI Engineer

    Kimberly-Clark

    Bengaluru
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    Transformers
    Diffusion Models
    Machine Learning
    Deep Learning
    Python
    Graph ML
    Time-series Models
    Reinforcement Learning
    MLOps
    Kubernetes
    Azure

    Description

    Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional®. At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact.

    Company: Kimberly-Clark

    Role: Advanced AI Engineer

    Location: Bengaluru, Karnataka, India (Hybrid, Full-time)

    Key Skills:

    • AI & ML Engineering
    • Machine Learning
    • Deep Learning
    • LLMs
    • MLOps
    • Python
    • Transformers
    • Diffusion Models
    • Graph ML
    • Time-series Models
    • Reinforcement Learning
    • GenAI
    • Agentic Systems
    • Vector Databases
    • Embeddings
    • Semantic Search
    • Knowledge Graphs
    • CI/CD Pipelines
    • Model Versioning
    • Feature Stores
    • Model Serving Frameworks
    • Cloud Platforms (Azure)
    • Containers
    • Kubernetes

    Qualification:

    • AI & ML Engineering
    • Machine Learning
    • Deep Learning
    • LLMs
    • MLOps
    • Software Engineering

    Role Focus:

    • Design, build, and deploy large-scale AI and Generative AI systems
    • Translate complex problems into scalable AI solutions
    • Design, develop, and deploy end-to-end AI/ML and GenAI solutions
    • Build and fine-tune Large Language Models (LLMs)
    • Implement advanced models
    • Perform model evaluation, bias/fairness checks, explainability (XAI), and continuous performance optimization
    • Design multi-agent workflows
    • Build systems leveraging vector databases, embeddings, semantic search, and knowledge graphs
    • Implement guardrails for safety, hallucination reduction, and responsible AI
    • Productionize AI models using CI/CD pipelines
    • Deploy scalable solutions on cloud platforms (Azure)
    • Monitor model drift, performance, cost, and reliability in production environments
    • Write production-grade Python code
    • Integrate AI services with enterprise systems

    Other:

    • In-country relocation support
    • Equal opportunity employer
    • Veterans and members of the Reserve and Guard are highly encouraged to apply

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    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.

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