Artificial Intelligence Engineer

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description


Key Responsibilities

  • Design, develop, and deploy AI solutions using

    Generative AI

    and

    Agentic AI

    principles.
  • Build intelligent agents and copilots using

    Microsoft Copilot stack

    ,

    Azure AI Services

    , and

    Power Platform

    .
  • Collaborate with product managers, data scientists, and engineers to translate business needs into scalable AI solutions.
  • Integrate AI models into enterprise systems using APIs, microservices, and automation pipelines.
  • Optimize model performance and ensure scalability in production environments.
  • Implement

    CI/CD pipelines

    for AI workloads using tools like GitHub Actions, Jenkins, etc.
  • Automate cloud workloads and manage deployment cycles across environments.
  • Stay current with the latest AI/ML research and apply cutting-edge techniques to projects.
  • Document models, workflows, and experiments for reproducibility and team knowledge sharing.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • 2–3 years of hands-on experience in AI/ML development, including deep learning and NLP.
  • Strong experience with

    Azure AI Services

    ,

    Azure Machine Learning

    ,

    Power Platform

    , and

    Microsoft Copilot stack

    .
  • Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc.
  • Experience with cloud platforms (Azure preferred; AWS/OCI a plus).
  • Familiarity with MLOps practices, containerization (Docker), and API frameworks (Flask, FastAPI).
  • Experience using

    GitHub Copilot

    or similar AI-assisted development tools.
  • Strong problem-solving skills and ability to work independently or in agile teams.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Exposure to

    model monitoring

    , performance tuning, and observability in production.
  • Experience with

    prompt engineering

    ,

    LLM fine-tuning

    , or

    custom GPT deployments

    .
  • Familiarity with

    agent frameworks

    (e.g., Semantic Kernel, AutoGen, LangChain, etc.).

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NCR Atleos

IT Services and IT Consulting

Atlanta Georgia

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