AI Engineer - Gurgaon / Gurugram - confidential

    confidential
    confidential Gurgaon / Gurugram

    6 days ago

    Full time ₹1,200,000 - ₹3,500,000 (INR) per year *
    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.).
    * This salary range is an estimation made by beBee
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