Computer Vision/Deep Learning Engineer

On-siteSalary not specified
Location not specified

Tech Stack

KerasTensorFlowLinuxPyTorch

Job Description, Responsibilities & Requirements

About the Position

We are looking for a Computer Vision/Deep Learning Engineer to work on building deep learning computer vision scalable applications related to face detection, recognition, and soft biometrics.

Responsibilities

  • Develop scalable deep learning applications for face detection, recognition, and soft biometrics.
  • Data processing, cleaning, analysis, and augmentation.
  • Strong coding skills in Tensorflow, Keras, Pytorch to code both prototypes and production-level systems.
  • Optimize deep learning models to save time, energy, and memory requirements in both training and inference phases.
  • Build complete solutions that run on the cloud or an independent server on Linux environments.
  • Manage the machine learning models lifecycle.
  • Experience in Face Detection, Recognition, and Analysis is a big plus.
  • Deploying deep learning models on the edge is a big bonus.

Requirements

  • Very good English writing and verbal communication skills.
  • At least 3 years of industrial experience in computer vision and deep learning applications.
  • Strong coding skills in Tensorflow, Keras, Pytorch.
  • Experience in optimizing deep learning models.
  • Ability to build complete solutions that run on the cloud or an independent server on Linux environments.
  • Machine learning models lifecycle management.

Nice to Have

  • Experience in Face Detection, Recognition, and Analysis.
  • Experience in deploying deep learning models on the edge.

We Offer

  • Opportunity to work on cutting-edge deep learning applications.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.

About the Company

Please fill out this form if you are interested in joining our amazing team.

Job Details

Company name:
Algoface
Location:
Location not specified
Work Mode:
On-site
Posted on TheJob:
Mar 26, 2026
Last checked:
Jul 18, 2026
Apply Now
© 2026 TheJob, Inc. All rights reserved.