Machine Learning Engineer - Computer Vision

Kolomolo

17h•Remote

About The Position

We are seeking an experienced Machine Learning Engineer with a strong focus on Computer Vision to join our advanced AI team. This is a key role for someone who thrives at the intersection of cutting-edge research and real-world application. You’ll be driving the development and deployment of vision-based models, tackling challenges across object detection, tracking, segmentation, and image/video understanding.

Requirements

5+ years of experience in Machine Learning, with at least 3 years focused on computer vision.
Proven track record of delivering vision-based ML products or research.
Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
Strong Python programming skills; familiarity with OpenCV and image processing libraries.
Solid understanding of convolutional neural networks (CNNs), transformers, and related architectures.
Experience with model optimization and deployment on cloud or edge devices.

Nice To Haves

Experience with video analytics, multi-modal models, or synthetic data generation.
Publications or open-source contributions in the field of computer vision.
Familiarity with MLOps tools (MLflow, DVC, Docker, etc.).

Responsibilities

Design, build, and deploy scalable computer vision systems using deep learning.
Develop models for tasks such as classification, detection, segmentation, and visual quality assessment.
Collaborate with data scientists and engineers to refine data pipelines and training datasets.
Optimize models for performance across cloud and edge platforms.
Stay up to date with the latest in computer vision research and apply relevant advancements.