Object Recognition Computer Vision Engineer — Hybrid

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

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.