Senior Python Full-Stack Engineer | Lead Scalable AI Apps

Wipro Technologies

Jersey City (NJ)

On-site

USD 60,000 - 135,000

Full time

5 days ago
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Job summary

Wipro Limited in Jersey City seeks a Senior Python Full Stack Developer to lead the architecture, design, and development of scalable Python-based applications. You will mentor teams and build RESTful APIs using FastAPI, Flask, or Django, while delivering data pipelines and ML-ready infrastructure.

The role emphasizes collaboration with Data Science and ML teams, building CV-powered solutions, and deploying in production with Docker-based CI/CD pipelines.

Qualifications

  • 5–8 years of full-stack Python experience.
  • Experience building scalable Python-based applications and microservices.
  • Strong experience with RESTful APIs and modern web frameworks (FastAPI/Flask/Django).

Responsibilities

  • Lead architecture, design, and development of scalable Python-based applications.
  • Mentor and guide development teams while enforcing engineering best practices.
  • Design and develop RESTful APIs using FastAPI, Flask, or Django.
  • Build scalable backend systems, microservices, and ETL/data pipelines.
  • Collaborate with Data Science and ML teams to productionize AI/ML solutions.
  • Develop and optimize Computer Vision solutions for real-world applications.
  • Deploy, monitor, and maintain ML models in production.
  • Design robust database solutions using SQL and NoSQL databases.
  • Implement CI/CD pipelines and containerized deployments using Docker.

Skills

Python
RESTful APIs
Microservices
CI/CD
Data & ETL

Tools

Docker

Job description

Wipro Limited in Jersey City seeks a Senior Python Full Stack Developer to lead the architecture, design, and development of scalable Python-based applications. You will mentor teams and build RESTful APIs using FastAPI, Flask, or Django, while delivering data pipelines and ML-ready infrastructure.

The role emphasizes collaboration with Data Science and ML teams, building CV-powered solutions, and deploying in production with Docker-based CI/CD pipelines.

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