Computer Vision Engineer

Codertal

Union (NJ)

Remote

USD 85,535 - 128,303

Full time

14 days+

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Benefits offered by this job

Competitive daily rates

100% remote work

Flexible schedule

Constant learning opportunities

Dynamic engineering community

Job summary

A leading tech company is seeking a remote Computer Vision Engineer to design and implement models for tasks including object detection and image segmentation. The role involves collaborating with teams to develop AI solutions for international clients. Candidates should possess strong experience in computer vision and deep learning frameworks like PyTorch or TensorFlow, along with a relevant degree. This position offers competitive rates and flexible work hours.

Qualifications

Strong experience in Computer Vision and Deep Learning.
Expertise with PyTorch, TensorFlow, OpenCV, or similar frameworks.
Hands-on experience with image segmentation, detection, or tracking.
Experience with Python for model development.
Familiarity with MLOps, cloud deployments, and inference optimization.
Experience working with GPUs and model acceleration.
Proficiency in NumPy, Pandas, and data pipeline tools.
Intermediate to advanced English.

Responsibilities

Develop computer vision models using OpenCV, PyTorch, TensorFlow, and Hugging Face.
Work on image classification, object detection, and segmentation.
Develop and maintain image preprocessing and augmentation pipelines.
Train, fine-tune, and optimize models for performance.
Build OCR pipelines using Tesseract or custom models.
Deploy vision solutions to edge devices and cloud environments.
Monitor and improve model performance over time.
Stay up to date with developments in Computer Vision.

Skills

Computer Vision

Deep Learning

PyTorch

TensorFlow

OpenCV

Python

MLOps

NumPy

Pandas

Education

Bachelor’s or Master’s in Computer Science, AI, Engineering or related field

Tools

OpenCV

TensorFlow

PyTorch

Hugging Face

Tesseract

Job description

Codertal is hiring a Computer Vision Engineer for a remote opportunity in the European Union on a B2B contract. If you love working with image processing, deep learning, and advanced computer vision pipelines, this role is an excellent fit for you!

Last Updated: 21.10.2025

📍 Location: Remote – European Union

🤝 Contract Type: B2B Contract

💼 Experience Level: Mid to Senior

🚀 About the Role

Codertal is looking for an experienced Computer Vision Engineer to join our AI and engineering teams. You will design and implement advanced models for tasks such as object detection, image segmentation, pose estimation, OCR, and video analytics. Your work will support high-impact digital transformation initiatives for international clients.

You’ll collaborate with data scientists, deep learning engineers, and software developers to create robust vision solutions that perform efficiently in real‑world production environments.

🔎 Key Responsibilities

✅ Develop computer vision models using OpenCV, PyTorch, TensorFlow, and Hugging Face.
✅ Work on image classification, object detection (YOLO, Faster R‑CNN), and segmentation (UNet, Mask R‑CNN).
✅ Develop and maintain image preprocessing and augmentation pipelines.
✅ Train, fine‑tune, and optimize models for performance and inference speed.
✅ Build OCR pipelines using Tesseract, Transformers, or custom models.
✅ Deploy vision solutions to edge devices, cloud environments, and production systems.
✅ Monitor and improve model performance over time.
✅ Stay up to date with the latest developments in Computer Vision and AI.

🎯 Required Skills and Experience

✔️ Strong experience in Computer Vision and Deep Learning.
✔️ Expertise with PyTorch, TensorFlow, OpenCV, or similar frameworks.
✔️ Hands‑on experience with image segmentation, detection, or tracking.
✔️ Experience with Python for model development.
✔️ Familiarity with MLOps, cloud deployments, and inference optimization.
✔️ Experience working with GPUs and model acceleration (TensorRT, ONNX).
✔️ Proficiency in NumPy, Pandas, and data pipeline tools.
✔️ Bachelor’s or Master’s in Computer Science, AI, Engineering, or related field.
✔️ Intermediate to advanced English.
✔️ Must be located within the European Union.