Computer Vision Engineer - Object Recognition

Placements24; Houston (TX); Hybrid; USD 36,000 - 54,000; Full time

Benefits offered by this job

Hybrid work model

Professional development opportunities

Medical aid

Retirement contributions

Job summary

Placements24 is seeking a Computer Vision Engineer specializing in object recognition to design, develop, and deploy real-time vision algorithms. The role involves collaboration with hardware teams to optimize performance on embedded systems and to stay current with state-of-the-art deep learning techniques.

The ideal candidate has a strong background in image processing, machine learning, and hands-on experience with TensorFlow or PyTorch.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• Proven experience (3+ years) in computer vision development focusing on object recognition.
• Proficiency in Python or C++.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Familiarity with OpenCV and image processing techniques.

Responsibilities

• Develop and optimize computer vision algorithms for object detection, recognition, and tracking.
• Implement deep learning models (CNNs, YOLO, SSD) for object recognition tasks.
• Process and analyze large image and video datasets for model training and validation.
• Collaborate with hardware engineers to integrate vision algorithms on embedded systems.
• Conduct experiments, analyze results, and document methodologies.

Skills

Python

C++

Deep learning

OpenCV

Education

Bachelor's or Master's in Computer Science or Electrical Engineering

Tools

TensorFlow

PyTorch

OpenCV

Job description

About the Role

Our client, an innovator in advanced imaging and surveillance technologies, is seeking a talented Computer Vision Engineer with a specialization in object recognition. This role, based in Randburg, Gauteng , involves the design, development, and implementation of cutting-edge computer vision algorithms for real-time applications. The position offers a hybrid work model, enabling a blend of in-office collaboration and remote flexibility. You will work with state-of-the-art hardware and software, contributing to projects that enhance perception and analysis capabilities. The ideal candidate possesses a strong foundation in image processing, machine learning, and deep learning techniques applied to visual data. You will be part of a dedicated R&D team focused on pushing the boundaries of what's possible in visual intelligence. We are committed to providing a stimulating environment for innovation and professional development.

Key Responsibilities

• Develop and optimize computer vision algorithms for object detection, recognition, and tracking.
• Implement deep learning models (CNNs, YOLO, SSD, etc.) for various object recognition tasks.
• Process and analyze large image and video datasets for model training and validation.
• Collaborate with hardware engineers to integrate vision algorithms onto embedded systems or specialized hardware.
• Conduct experiments, analyze results, and document findings and methodologies.
• Optimize algorithm performance for speed, accuracy, and resource efficiency.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Work with cross-functional teams to deploy computer vision solutions into production environments.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience (3+ years) in computer vision development, with a focus on object recognition.
• Proficiency in programming languages such as Python or C++.
• Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with computer vision libraries such as OpenCV.
• Experience with image processing techniques and algorithms.
• Understanding of machine learning principles and statistical methods.
• Strong analytical and problem-solving skills.

Benefits

Our client offers a competitive salary, performance incentives, and a comprehensive benefits package including medical aid, retirement contributions, and paid leave. Professional development is supported through training opportunities, conference attendance, and access to cutting-edge research materials. The hybrid work model provides flexibility, balancing office-based collaboration with remote work. Our facility in Randburg, Gauteng , is equipped with advanced R&D tools and resources. Opportunities for career growth and contributing to innovative projects in the field of computer vision are significant. We foster a collaborative team environment focused on innovation and technical excellence.