Computer Vision Engineer
Quantum Code · Argentina
- Type: full time
- Location: worldwide
- Compensation: PLN 36053–78064
- Timezone: UTC+1
About the role
About the Role
We are looking for a talented Computer Vision Engineer.
Requirements
- Python - Vue.js - Salesforce - 6+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do As a Computer Vision Engineer, you will develop and implement cutting-edge image processing and machine learning models using Python. You will integrate these solutions into our existing platform, contributing to user-facing features that leverage visual data. A key part of your role will involve interacting with our business intelligence through Salesforce, translating data insights into actionable computer vision projects and ensuring seamless integration of developed features into our frontend applications built with Vue.js.
Why Join Us Join a dynamic, globally distributed team where innovation is at the forefront of everything we do. We foster a collaborative environment that encourages continuous learning and professional development, offering ample opportunities to expand your expertise in computer vision and related technologies. You will be instrumental in shaping the future of our product, working on challenging problems with a direct impact on our worldwide user base.
Who You Are You are a highly motivated and creative problem-solver with a strong understanding of computer vision principles and a passion for building intelligent systems. Your proficiency in Python, combined with practical experience in developing user interfaces with Vue.js and navigating CRM systems like Salesforce, makes you an ideal candidate. You thrive in a remote setting, communicate effectively across cultures, and are eager to contribute your unique skills to a fast-paced, forward-thinking company.
Required skills
- Python
- Vue.js
- Salesforce
About Quantum Code
Quantum Code is a leading company in the data science space, building innovative solutions for global teams.