AI Engineer

2 weeks ago

Gurgaon, Haryana, India NCR Corporation Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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

  • Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field.
  • 23 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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