Computer Vision / AI Engineer II

Coppell, TX, US • Posted 21 hours ago • Updated 21 hours ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Computer VIsion
  • ML
  • LLM
  • AI

Summary

Computer Vision / AI Engineer II

Location: Coppell, TX
Duration: 6 Months Contract with Potential Extension / Conversion

 

Job Summary

We are looking for a Computer Vision / AI Engineer with strong hands-on experience developing and optimizing machine learning and computer vision models. The ideal candidate will work across model development, evaluation, training, and production deployment for real-world image and video applications.

Required Skills

  • 3–5 years of hands-on experience developing Computer Vision / Machine Learning models.
  • Strong Python programming skills.
  • Experience with PyTorch and/or TensorFlow.
  • Hands-on experience with object detection, segmentation, classification, and OCR.
  • Strong experience with image and video analysis.
  • Experience training, fine-tuning, and optimizing ML/CV models.
  • Experience with modern computer vision approaches including CNNs, Transformers, and embeddings.
  • Knowledge of traditional computer vision techniques.
  • Proven experience taking models from prototype/experimentation through production.
  • Strong experience evaluating model performance, defining metrics, analyzing failure modes, and improving accuracy/latency.
  • Experience building data, labeling, and model evaluation pipelines.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Experience deploying models to edge devices.
  • Model inference optimization using TensorRT, ONNX, quantization, or pruning.
  • Experience with MLOps, including experiment tracking, model versioning, and performance monitoring.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • GPU-based model training.
  • Experience working with cameras, sensors, lighting, and other computer vision hardware.
  • Experience with retail, IoT, or real-world imaging datasets.
  • Strong collaboration experience with software, hardware, and MLOps teams.

Education

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423087
  • Position Id: 9082-19411-1787696938
  • Posted 21 hours ago
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