
$0-$0 / yr
Salary
argentina
Region
ASAP
Start Date
At Dev.Pro, we partner with businesses worldwide, from startups to Fortune 500 companies — across fintech, retail, hospitality and beyond. With a remote‑first mindset and a team in 55+ countries, we focus on aligning technical expertise with client needs, communicating clearly, and staying adaptable as priorities shift. This commitment to ownership and flexibility helps us create lasting partnerships — so you can focus on what you do best.
🟢 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: