AI-Driven Python Engineer: From Prototypes to Production

Reece USA; Estado de México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

The Reece USA Innovation Team is seeking a Python Developer to design and build AI-driven digital tools. You will prototype and productionize solutions, collaborating with cross-functional teams to apply AI, ML, big data, and IoT with Python, AWS, Docker, and React.

Join a startup-style environment focused on experimentation, rapid iteration, and turning prototypes into scalable production systems that enhance customer and team experiences.

Formación

• 5+ years of experience in software engineering or data science focusing on Python for AI-driven solutions.
• Bachelor's degree in CS/Engineering/Mathematics/Physics or related technical discipline.
• Strong knowledge of data structures, algorithms, and architectural patterns.
• Hands-on experience with cloud platforms (AWS preferred) and containerization (Docker, Lambda, EC2, Redis, Elasticsearch).
• Proficiency in React and TypeScript for front-end development.
• Strong English communication skills and the ability to collaborate effectively.

Responsabilidades

• Prototype development using AI, machine learning, and emerging technologies.
• Convert prototypes into scalable, production tools.
• Research wearable computing, big data, IoT, and AI to address business challenges.
• Write modular, high-quality Python code that performs efficiently.
• Align solutions with customer and team needs through a business-focused mindset.

Conocimientos

Python

AI/ML

Data science

Software engineering

React

TypeScript

Educación

Bachelor's degree in CS/Engineering/Mathematics/Physics

Herramientas

AWS

Docker

Lambda

EC2

Redis

Elasticsearch

Descripción del empleo

The Reece USA Innovation Team is seeking a Python Developer to design and build AI-driven digital tools. You will prototype and productionize solutions, collaborating with cross-functional teams to apply AI, ML, big data, and IoT with Python, AWS, Docker, and React.

Join a startup-style environment focused on experimentation, rapid iteration, and turning prototypes into scalable production systems that enhance customer and team experiences.