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Ekxpert Placement Services jobs

Computer Vision Engineer – YOLOv8, object detection

$54,124 - 95,000
Ekxpert Placement Services
North Rivermede Road 151, Concord
$54,124 - 95,000
Company Size icon
Company Size
<50
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Proficient in Python with the ability to write modular scripts and automation tools, beyond using Jupyter notebooks - Hands-on experience with YOLO and Ultralytics, including training, fine-tuning, and evaluating models - Strong grasp of object detection principles, encompassing bounding boxes, mAP, IoU, NMS, and confidence thresholds - Familiar with dataset management tools, having experience with at least one labeling platform such as CVAT, Roboflow, or LabelImg; knowledgeable about training, validation, and testing data splits along with data augmentation - Comfortable using Linux in a terminal setting, including SSH, file management, and executing training tasks

Technologies

AI
Big Data
Jupyter
Machine Learning

Responsibilities

- Train and refine YOLO/Ultralytics models on customized datasets for deployment in real-world edge scenarios - Develop Python scripts and workflows for data ingestion, preprocessing, augmentation, and evaluation - Create and manage labeled datasets utilizing tools like CVAT, Roboflow, or LabelImg - Assess model performance metrics (such as mAP, precision/recall, and confidence calibration) and make adjustments based on findings - Adjust detection thresholds and prepare models for deployment on embedded or edge hardware - Collaborate closely with the Machine Learning team to translate business needs (e.g., occupancy detection, PPE compliance, queue monitoring) into trained models

Description


We are a forward-thinking company located in Concord, ON, seeking a talented Computer Vision Engineer to enhance our innovative team. This full-time position offers an environment where you will work with advanced technologies like AI, big data, and natural language processing. We pride ourselves on fostering a dynamic and collaborative culture and provide a hybrid remote work model for our employees.
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You can find Machine Learning Engineer salaries in the United States here.

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