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About the Role

AI/ML Engineer

Key Responsibilities

  • Design, develop, and deploy

    RAG-based AI/ML solutions

    using LLMs
  • Work on

    end-to-end AI/ML pipelines

    , including data preprocessing, feature engineering, model training, evaluation, and optimization
  • Integrate LLMs with enterprise data sources and vector databases
  • Optimize model performance, latency, and cost for production use cases
  • Deploy and manage AI/ML models using

    cloud platforms

  • Collaborate closely with product, engineering, and data teams to deliver AI-driven solutions
  • Troubleshoot, monitor, and enhance models in live production environments

Required Skills & Qualifications

  • 4–7 years of experience in

    AI/ML engineering or related roles

  • Mandatory hands-on experience with RAG systems and LLMs

  • Strong understanding of

    machine learning algorithms, NLP, and deep learning concepts

  • Experience in

    data preprocessing, model training, fine-tuning, and optimization

  • Exposure to

    cloud platforms

    (AWS / Azure / GCP) for AI/ML deployment
  • Proficiency in Python and common ML/AI frameworks
  • Strong analytical, problem-solving, and communication skills
  • Ability to work effectively in a

    fast-paced, collaborative environment

Good to Have

  • Experience with vector databases and embeddings
  • Familiarity with MLOps practices
  • Prior experience deploying LLMs in enterprise-scale applications

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