Fullstack Developer

Job Responsibilities

• Develop interactive web applications using Streamlit for AI-driven solutions.
• Build and integrate APIs using FastAPI or Flask to connect backend services.
• Process, clean, and visualize data using Pandas, NumPy, and Matplotlib/Seaborn/Plotly.
• Deploy AI/ML models into Streamlit applications using TensorFlow, PyTorch, or Hugging Face Transformers.
• Connect applications to databases using SQLAlchemy (PostgreSQL, MySQL) or PyMongo (MongoDB).
• Handle API authentication using OAuth2, JWT, and Authlib for secure access.
• Deploy and scale applications on AWS using Lambda, S3, EC2, API Gateway, Glue.
• Optimize application performance with caching techniques and async processing.
• Containerize and deploy applications using Docker and Kubernetes.
• Ensure real-time API interactions with Requests, HTTPx.
• Implement CI/CD pipelines for automated deployment and testing

Required Skills:

• 5-8 years of experience in Python-based application development.
• Expertise in Streamlit for building interactive UI/UX for AI applications.
• Strong API development skills using FastAPI, Flask, and Django Rest Framework (DRF).
• Proficiency in data processing and visualization using Pandas, NumPy, Matplotlib, Seaborn, and Plotly.
• Experience in AI/ML model deployment with TensorFlow, PyTorch, and Hugging Face Transformers.
• Hands-on AWS experience with services like Lambda, S3, EC2, Glue, API Gateway.
• Database management experience with SQLAlchemy (PostgreSQL, MySQL) and PyMongo (MongoDB).
• Knowledge of authentication frameworks like OAuth2, JWT, and Authlib.
• Proficiency in containerization and orchestration with Docker and Kubernetes.
• Familiarity with API security best practices and cloud deployment strategies.
• Strong debugging, troubleshooting, and optimization skills.

Preferred Qualifications:

• AWS Certified Developer or AI-related certifications.
• Experience implementing LLM-based solutions in applications.
• Familiarity with MLOps and automated model lifecycle management.
• Experience with serverless computing and event-driven architectures on AWS