AI Intern

Role Overview

We are seeking a motivated AI Intern to join our SME operations team. In this role, you will build and maintain AI-powered applications by integrating remote AI models (e.g., Ollama, LM Studio, OpenAI) into production workflows. You will design data pipelines using Apache Airflow, develop Django backends, and build Streamlit frontends to deliver client-specific use cases. The role also involves containerizing and deploying applications with Docker, ensuring secure connectivity on our cloud infrastructure, and collaborating closely with the R&D team to turn requirements into scalable AI solutions.

Responsibilities

• Build and maintain Apache Airflow pipelines to manage request-response flows with remote AI models.
• Develop and integrate Django backend services to support AI-driven applications.
• Create Streamlit-based frontend apps for interactive client-facing use cases.
• Containerize applications and workflows using Docker for consistent deployment.
• Ensure secure connectivity through VPNs on Client infrastructure.
• Collaborate with teams to understand client requirements and implement technical solutions.
• Monitor, debug and optimize AI workflows for performance and reliability.
• Stay updated with emerging AI/ML tools and frameworks.

Requirements

• Hands-on experience with Python development.
• Familiarity with Django and Streamlit frameworks.
• Basic understanding of Apache Airflow or other orchestration tools.
• Experience working with Docker for containerization.
• Exposure to VPNs and remote server environments.
• Knowledge of REST APIs and integrating external AI/ML services.
• Strong problem-solving skills and eagerness to learn in a fast-paced environment.
• Understanding of MongoDB.