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    Home/Jobs/AI Engineer

    AI Engineer

    OneMagnify

    United States
    2+ years
    Today
    ₹8–19 LPA
    Full-time
    Remote

    Skills Required

    Gen AI
    LLM
    Python
    Machine Learning
    MLOps
    Databricks
    SQL
    Object-oriented Programming
    Model Evaluation Frameworks
    Distributed Environments
    Data Pipelines
    Model Pipelines

    Description

    OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. As an AI Engineer at OneMagnify, you’ll focus on making machine learning and generative AI systems reliable, scalable, and production‑ready for real client use.

    Company: OneMagnify

    Role: AI Engineer

    Location: Remote

    Experience:

    • 2+ years in a technical role focused on machine learning, data platforms, or AI systems (2+ years post‑Master’s if applicable)
    • Hands-on experience deploying and operating machine learning or generative AI models in production environments

    Key Skills:

    • MLOps practices
    • experiment tracking
    • model versioning
    • monitoring
    • model evaluation frameworks
    • performance monitoring techniques
    • large language models
    • applied AI use cases
    • object-oriented programming
    • Databricks
    • Python
    • SQL
    • analytics or engineering tools
    • BI tools such as Tableau, Power BI, or Domo

    Qualification:

    • Bachelor’s degree in a relevant field or equivalent practical experience
    • Master’s degree preferred

    Role Focus:

    • Build and Maintain Production ML/AI Pipelines
    • Apply MLOps Best Practices
    • Monitor, Observe, and Improve Models in Production
    • Be a Trusted Technical Partner to Clients
    • Collaborate Across Integrated Teams
    • Support Client-Facing Delivery

    Nice to have:

    • Experience operationalizing generative AI or LLM‑based systems in client-facing or production environments
    • Familiarity with marketing technology stacks, CRM platforms, or customer data platforms
    • Exposure to automation, CI/CD for ML, or model orchestration workflows
    • Experience supporting platform‑based or reusable delivery models across clients
    • Comfort working in environments where AI systems support business and customer experience outcomes
    • Experience in integrated marketing, digital agency, marketing services, or consulting environments

    Other:

    • medical, dental, and vision coverage
    • 401(k) retirement plan
    • paid holidays
    • Flexible Time Off (FTO)
    • programs focused on wellness, financial security, and professional growth

    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.

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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