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Computer Vision Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree required, 3+ years of experience in computer vision or deep learning, Proficient in TensorFlow, Keras, and PyTorch, Experience with GPU computing using CUDA.

Key responsabilities:

  • Research, develop, and optimize computer vision models
  • Set up deep learning pipeline for data ingestion and model training
  • Deploy and maintain computer vision models on edge devices
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Manning Global AG SME http://www.manningglobal.com
501 - 1000 Employees
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Job description

This is a remote position.

Our client, a leading global IT service provider, is recruiting a Computer Vision Engineer to join their project in Poland or Hungary.



Position Title:

Computer Vision Engineer 


Position Type:

Permanent


Start Date:

Q1


Location:

Poland and Hungary


Contact:

Iulia Balan |  +49 (0) 89 23 88 98 62



The Opportunity

 

  We are looking for a computer vision engineer to join our team in developing a factory floor

analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to

develop an industrial grade solution from concept to deployment.


 

Responsibilities:  

  • Working with the team to research, develop, evaluate and optimize various computer vision and deep learning models for different problems.

  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment

  • Tune the models to achieve high accuracy rates and minimum latency

  • Work with the engineering team and integrate the DL pipeline to the rest of the system

  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in future

 

Requirements:

 

  • A Bachelor’s degree.

  • Understanding about depth and breadth of computer vision and deep learning algorithms.

  • 3+ years of experience in computer vision and/or deep learning.

  • Experience in training various DL models for object detection, object tracking, image segmentation, etc.

  • Experience in building entire deep learning pipelines from scratch (data preparation, training, validation, inferencing, integration, etc)

  • Experience in deploying computer vision solutions on edge devices such as Nvidia Jetson

  • Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch.

  • Experience in training models through GPU computing using NVIDIA CUDA or on cloud.

  • Proficient understanding of code versioning tools, such as Git



Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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