Full Stack Developer

AI/ML Integration

• Collaborate with AI/ML teams to understand and integrate models into live applications.
• Deploy models using APIs, TensorFlow.js, ONNX, or direct embedding techniques.
• Maintain model versioning, performance monitoring, and retraining pipelines (MLOps best practices).

Backend Development

• Develop robust APIs and backend logic using frameworks like Node.js, Django, or Flask.
• Design scalable architectures for handling AI model inputs/outputs and data flow.
• Integrate databases (PostgreSQL, MongoDB, Redis) for data persistence and caching.

Frontend Development

• Build dynamic, intuitive UIs using React, Angular, or Vue.js.
• Visualize AI model outputs clearly for end-users (dashboards, predictive indicators, etc.).
• Ensure UI responsiveness, accessibility, and performance across devices.

Infrastructure & DevOps

• Containerize applications using Docker and orchestrate via Kubernetes.
• Manage deployments on cloud platforms like AWS, Azure, or GCP.
• Implement CI/CD pipelines and monitor system health in production environments.