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Python Developer

Precision Technologies

hybridmidpermanentbackenddatafullstack United States Yesterday via LinkedIn

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Tags

PythonFastAPIFlaskDjangoREST APIsMachine LearningAI/MLData PipelinesAWSAgile

About the role

Role Overview

Python Developer (AI/ML Preferred) for W2 / Full-Time work in the United States (onsite/hybrid/remote depending on client requirements). Visa sponsorship is limited to work-authorized candidates excluding H1B.

Responsibilities

  • Design, develop, test, and deploy scalable Python applications.
  • Build and maintain RESTful APIs and backend services using FastAPI, Flask, or Django.
  • Develop, train, and deploy Machine Learning and AI models for business use cases.
  • Work with structured and unstructured data for predictive analytics and automation.
  • Implement data processing pipelines and model integration workflows.
  • Collaborate with Data Scientists, Engineers, Product Owners, and stakeholders to define requirements and deliver solutions.
  • Integrate AI/ML models into web applications and enterprise systems.
  • Optimize performance, scalability, and reliability.
  • Write unit tests, conduct code reviews, and follow software best practices.
  • Deploy and manage applications in cloud environments such as AWS, Azure, or GCP.
  • Participate in Agile/Scrum ceremonies and contribute to technical design discussions.

Requirements

  • Proficiency in Python for developing and deploying backend applications.
  • Experience building RESTful APIs using FastAPI, Flask, or Django.
  • Experience developing and deploying AI/ML models and working with predictive analytics.

Nice-to-haves

  • Strong experience with cloud deployments (AWS/Azure/GCP) and data pipelines.
  • Familiarity with Agile/Scrum and cross-functional stakeholder collaboration.

About Precision Technologies

Precision Technologies is a technology services company focused on building and deploying software solutions. The role emphasizes Python-based backend development and AI/ML model development for business applications across cloud environments.

Scraped 7/29/2026