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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Dassault Systèmes

    Pune
    6-7 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Gen AI
    Prompt Engineering
    LangChain
    LlamaIndex
    Embeddings
    Vector Database
    LLMOps
    AI Agent frameworks
    LangGraph
    Python
    Machine Learning
    NLP
    SQL

    Description

    Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI. Collaborate with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.

    Company: Dassault Systèmes

    Role: AI/ML Engineer

    Location: India, MH, Pune

    Experience:

    • 6 to 7 years
    • 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics
    • 3+ years of hands-on experience in AI/ML and/or Generative AI solutions

    Key Skills:

    • Python
    • software development fundamentals
    • Machine Learning
    • NLP
    • data analytics
    • LLMs
    • Prompt Engineering
    • RAG
    • AI Agent frameworks
    • LangChain
    • LangGraph
    • LlamaIndex
    • SQL
    • APIs
    • data integration
    • Docker
    • Git
    • CI/CD fundamentals
    • AWS
    • Azure
    • GCP

    Qualification:

    • 3–10 years of overall experience in software development, data engineering, AI/ML, or analytics
    • 3+ years of hands-on experience in AI/ML and/or Generative AI solutions

    Role Focus:

    • Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases
    • Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks
    • Support model development, evaluation, deployment, and monitoring activities
    • Build and maintain data pipelines, embeddings pipelines, and vector databases
    • Prepare, transform, and validate data for AI/ML workloads
    • Integrate AI services with enterprise applications and APIs
    • Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization
    • Develop reusable components, prompts, workflows, and AI accelerators
    • Contribute to AI platform enhancements and automation initiatives
    • Work with cross-functional teams to define requirements and deliver AI solutions
    • Evaluate emerging AI technologies, models, and frameworks
    • Follow AI governance, security, and Responsible AI guidelines

    Other:

    • Work on building AI agents and Virtual Companions within product engineering workflows
    • Work at the intersection of deep PLM domain expertise and AI-augmented engineering
    • Contribute to products used by global industry leaders across 12 sectors
    • Grow in an environment valuing engineering craft, domain curiosity, and AI fluency
    • Collaborate with engineering colleagues globally as part of a world-class PLM organization
    • Be part of a team shaping AI integration into enterprise product engineering
    • Dassault Systèmes strives to build inclusive and diverse teams globally
    • Company fosters a harmonized Workforce of the Future

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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