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Python Full Stack Engineer

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Technopride Ltd
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Polska Cerekiew, Poland | Posted on 10/11/2025

We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.

Job Description

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 Dev Ops 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.
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