Python Full Stack Engineer

Role Overview

We are seeking a Full Stack Engineer with strong expertise in Python (FastAPI) and React to join our Data Analytics team. The ideal candidate will have experience building production-grade ML/NLP applications, combining robust backend development with intuitive frontend design. This role involves working on end-to-end solutions — from developing APIs and machine learning pipelines to deploying scalable applications in the cloud.

Key Responsibilities

• Design, develop, and maintain end-to-end applications using Python (FastAPI) for backend services and React for frontend interfaces.
  
• Build and deploy ML/NLP-driven products, integrating machine learning models into production systems.
  
• Develop scalable APIs for data processing, model inference, and analytics workflows.
  
• Implement and manage cloud deployments using AWS or equivalent platforms (e.g., ECS, Fargate, Docker, CI/CD).
  
• Collaborate with data scientists and engineers to optimize data pipelines and model performance.
  
• Ensure application scalability, performance, and maintainability through best coding practices and modern DevOps tools.
  

Required Skills & Experience

• Proven experience as a Full Stack Developer, with strong proficiency in Python, FastAPI, and React.
  
• Hands-on experience developing ML/NLP applications and integrating model inference APIs.
  
• Strong understanding of data processing, API design, and distributed systems.
  
• Proficiency in cloud-based deployments (AWS or other major cloud providers), including Docker, CI/CD pipelines, and container orchestration.
  
• Solid understanding of software engineering principles, version control (Git), and agile methodologies.