AI Engineer - NLP/Deep Learning (2-5 yrs)

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.).