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Senior/Principal Software Engineer (Python/Computer Vision/ML) - OP02123

Dev.Pro

São Paulo, State of São Paulo, Brazil Remote permanent

Posted: April 29, 2026

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Quick Summary

Work on a real-time Computer Vision system to recognize vehicles and automate order-related processes in a production-grade project.

Job Description

🟢 We’re expanding our team and opening new remote opportunities! Review the role expectations, share your resume in English, and our team will follow up shortly.

We invite a Senior Software Engineer with deep hands-on experience in Python, Computer Vision, and Machine Learning to join our team working on a production-grade project in the restaurant technology space. In this hands-on engineering role, you'll build and maintain a live drive-thru Computer Vision system that recognizes vehicles and helps automate order-related processes in real time.

🟩 What's in it for you:

• Work on a real-world Computer Vision system used in live drive-thru restaurant environments
• Build, fine-tune, and improve ML systems using modern technologies like PyTorch and YOLO models
• Be part of a distributed international team with opportunities to grow into a leadership role

✅ Is that you?

• 5+ years of experience in Computer Vision and Machine Learning in production environments
• Strong software engineering background with solid Python skills and experience building and maintaining production-grade systems
• Hands-on experience with PyTorch and object detection models (YOLO)
• Hands-on experience with OpenCV
• Strong understanding of the ML lifecycle (training, evaluation, deployment)
• Experience fine-tuning models, improving system performance, and troubleshooting production issues
• Ability to work independently and take end-to-end ownership
• Proactive, self-organized mindset with strong communication skills
• Experience collaborating in distributed teams and working directly with clients and senior stakeholders
• Upper-Intermediate+ English level (written and spoken)
• Willingness and ability to travel to the U.S. occasionally (valid visa required)

Desirable:

• Experience with TensorFlow
• Understanding of Advanced Data Structures (Trees, Graphs)
• Experience working with LLMs
• Experience mentoring or guiding other engineers
• Experience in restaurant tech or similar domains

🧩Key responsibilities and your contribution

In this role, you'll be involved in the ongoing development, improvement, and support of a production Computer Vision system based on real-world usage data.

• Work on day-to-day engineering tasks and support the continuous delivery of a live production system
• Fine-tune and optimize ML models to improve system performance in real-world conditions
• Contribute to new feature development and system enhancements to meet evolving requirements
• Identify, analyze, and troubleshoot issues in a production environment
• Collaborate with the team and client stakeholders on requirements and solutions
• Support on-the-ground testing and validation in a dedicated real-world demo environment

🎾 What's working at Dev.Pro like?

Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background

🌐 We are 99.9% remote — you can work from anywhere in the world
🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
💵 We pay in U.S. dollars and cover all approved overtime
📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer

Interested? Find out more:

📋How we work

💻 LinkedIn Page

📈 Our website

💻IG Page

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