Machine Learning Engineer (Computer Vision)

Placements24

Gauteng

On-site

ZAR 600,000 - 1,000,000

Full time

14 days+

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Benefits offered by this job

Competitive salary package
Medical and retirement benefits
Access to cutting-edge hardware and AI

Job summary

Placements24 in Gauteng seeks a skilled Machine Learning Engineer specialized in Computer Vision to join its AI & Emerging Technologies team in Tembisa. You will develop and deploy vision-based AI solutions for image recognition, object detection, and video analysis.

Ideal candidates have a strong background in Python, OpenCV, TensorFlow or PyTorch, and experience deploying models on edge or cloud platforms.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on AI or ML.
  • Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
  • Strong proficiency in Python and experience with libraries (NumPy, SciPy, Pandas).
  • Solid understanding of image processing techniques, feature extraction, and deep learning architectures for vision tasks.

Responsibilities

  • Design, develop, and implement state-of-the-art computer vision models and algorithms.
  • Train and fine-tune ML models using large image and video datasets.
  • Integrate CV solutions into existing or new product pipelines and applications.
  • Optimize model performance for real-time processing on edge devices or cloud platforms.
  • Collaborate with software engineers and data scientists to ensure seamless integration and functionality.
  • Document findings and methodologies from experiments.

Skills

Python
Computer Vision
Team collaboration
Edge deployment

Education

Bachelor's or Master's in CS/Engineering

Tools

OpenCV
TensorFlow
PyTorch
NumPy
Pandas
SciPy

Job description

About the Role

Our client is seeking a highly skilled Machine Learning Engineer with a specialization in Computer Vision to join their innovative AI & Emerging Technologies team in Tembisa . This role is crucial for developing and deploying advanced vision-based AI solutions that will shape our client's product offerings. You will work on challenging projects involving image recognition, object detection, and video analysis, contributing directly to the company's technological advancement. This is an excellent opportunity for a motivated engineer to make a significant impact in a growing field, collaborating with a passionate team in a vibrant setting.

Key Responsibilities
  • Design, develop, and implement state-of-the-art computer vision models and algorithms.
  • Train and fine-tune machine learning models using large image and video datasets.
  • Integrate computer vision solutions into existing or new product pipelines and applications.
  • Optimize model performance for real-time processing and deployment on edge devices or cloud platforms.
  • Collaborate with software engineers and data scientists to ensure seamless integration and functionality.
  • Conduct experiments, analyze results, and document findings and methodologies thoroughly.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on AI or Machine Learning.
  • Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
  • Strong proficiency in Python and experience with relevant libraries (NumPy, SciPy, Pandas).
  • Solid understanding of image processing techniques, feature extraction, and deep learning architectures for vision tasks.
  • Experience with data augmentation and model optimization techniques.
  • Ability to work effectively in a team environment and communicate technical details clearly.
Benefits
  • Competitive salary package with regular performance reviews.
  • Comprehensive medical and retirement benefits.
  • Access to cutting-edge hardware and software for AI development.
  • Professional development opportunities and support for continuous learning.
  • A collaborative and innovative work environment in Tembisa .
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