AI-Driven Full-Stack Engineer (Python/React)

Capital Placement Services Gurgaon

United States

Hybrid

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Flexible hybrid/remote
Professional development budget
AI/ML project exposure
Competitive compensation with bonuses

Job summary

Capital Placement Services Gurgaon is seeking an experienced Python and React TypeScript Full Stack Developer to join our engineering team in the United States. You will build scalable web applications, design and consume RESTful APIs and work across multiple databases.

The role emphasizes ML model integration, CI/CD, DevOps, and collaboration with data scientists to productionize features. You will mentor juniors and uphold engineering standards.

Qualifications

  • 5+ years of full stack development experience.
  • Strong Python and React TS proficiency with production apps.
  • Experience designing and consuming RESTful APIs and webhooks.
  • Proficient with PostgreSQL, MongoDB and MS SQL Server.
  • Experience integrating ML models into production.

Responsibilities

  • Develop full stack apps with Python backend and React frontend.
  • Architect and implement RESTful APIs and webhook integrations.
  • Manage schemas and migrations for PostgreSQL, MongoDB and MS SQL Server.
  • Develop, deploy and scale ML models for production.
  • Collaborate with data scientists to productionize ML features.
  • Write clean, well-tested code and conduct reviews.
  • Contribute to CI/CD, IaC, and DevOps best practices.
  • Monitor performance and optimize reliability.
  • Mentor junior developers and promote learning.

Skills

Python
Django
Flask
FastAPI
React
TypeScript
RESTful APIs
Webhooks
PostgreSQL
MongoDB
MS SQL Server
TensorFlow
PyTorch
scikit-learn
Docker
Kubernetes
Git
SOLID
DRY
Design Patterns

Tools

VS Code
GitHub
MLflow
Postman
Jupyter

Job description

Capital Placement Services Gurgaon is seeking an experienced Python and React TypeScript Full Stack Developer to join our engineering team in the United States. You will build scalable web applications, design and consume RESTful APIs and work across multiple databases.

The role emphasizes ML model integration, CI/CD, DevOps, and collaboration with data scientists to productionize features. You will mentor juniors and uphold engineering standards.

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