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.