Remote Vision AI Engineer — Deep Learning & CV

Placements24; George; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work flexibility

High-performance computing access

Competitive compensation package

Job summary

Placements24 in George is seeking an innovative Machine Learning Engineer specializing in Computer Vision to join their AI team. You will develop and deploy advanced CV models powering next-gen products and services, tackling object detection, segmentation, facial recognition, and AR challenges.

The role offers opportunities to work on cutting-edge problems, collaborate with researchers and engineers, and access high-performance computing resources.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field with ML/vision focus.
• 3-5 years of professional experience in developing and deploying CV models.
• Proficiency in Python and DL frameworks (TensorFlow, Keras, PyTorch).

Responsibilities

• Design, train, and optimize deep learning models for CV tasks using large-scale datasets.
• Deploy CV algorithms into production systems ensuring scalability and performance.
• Develop and maintain robust data pipelines for image and video processing.
• Collaborate with product managers and software engineers to define project requirements.
• Stay updated with CV research and apply findings to practical applications.

Skills

Python

DL frameworks

Computer Vision

Image processing

CNNs/RNNs

MLOps

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

Keras

PyTorch

Job description

Placements24 in George is seeking an innovative Machine Learning Engineer specializing in Computer Vision to join their AI team. You will develop and deploy advanced CV models powering next-gen products and services, tackling object detection, segmentation, facial recognition, and AR challenges.

The role offers opportunities to work on cutting-edge problems, collaborate with researchers and engineers, and access high-performance computing resources.