DontApply.Club
Login Register

Junior Computer Vision Engineer

Byfronai — Georgia · Posted ~2 hours ago

Junior Full-time Onsite

Skills

Computer science fundamentals Python Computer vision Object detection Video tracking Image and video data processing OpenCV YOLO PyTorch

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A junior computer vision engineering role for a self-driven candidate with strong Python and computer science fundamentals. You will work hands-on with image and video datasets, benchmark and fine-tune open-source vision models, automate real-time camera-feed processing, and help test and deploy prototypes into production. The role offers close collaboration with experienced engineers and practical exposure to end-to-end computer vision pipelines.

Highlights

Opportunity to work directly with experienced engineers on real-world computer vision systems from day one, with hands-on exposure to dataset processing, model fine-tuning, automation, testing, and production deployment.

Description

Company Overview ByfronAI builds autonomous software systems, AI agent infrastructure, and computer vision pipelines. We focus on execution speed, minimal bureaucracy, and shipping real-world AI tools. Role Summary We are looking for a hungry, self-driven Junior Computer Vision Engineer to join our core team in Tbilisi. You don't need years of commercial experience, but you must have solid CS fundamentals, strong Python skills, and a passion for working with visual data (object detection, video tracking, or edge processing). You will work directly alongside experienced engineers, building and testing real-world vision pipelines from day one. What You’ll Work On Annotating, preprocessing, and managing image and video datasets.Benchmarking and fine-tuning open-source vision models (OpenCV, YOLO, PyTorch).Building automated scripts to process camera feeds and extract real-time data.Testing and deploying model prototypes into production pipelines. What We Looking For Core Coding: Good proficiency in Python and familiarity with basic data structures and algorithms.CV Familiarity: Hands-on experience with OpenCV, PyTorch, or YOLO through university projects, personal builds, or hackathons.Version Control: Basic knowledge of Git/GitHub.Mindset: Fast learner who reads documentation independently and enjoys solving messy technical bugs. What We Offer Direct mentorship and hands-on experience building production AI systems.Flexible work hours adaptable to university schedules.Clear career path: fast-track salary increases based on project completion and milestone delivery.High-autonomy startup environment with zero corporate red tape.