Sr Computer Vision / Machine Learning Engineer - Blockchain Technologies. LLC : Job Details

Sr Computer Vision / Machine Learning Engineer

Blockchain Technologies. LLC

Job Location : California,MO, USA

Posted on : 2025-04-29T00:58:06Z

Job Description :

Sr Computer Vision / Machine Learning Engineer

Location:

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization:

Role: Sr Computer Vision / Machine Learning Engineer

Contract period: 6 months to start and keeps extending / Conversion based on performance.

Experience range: PhD with 2 years or MS with 4 years

Requirements:

  • PhD (2 years) or MS (4 years) in Computer Science or related fields focused on Computer Vision and Machine Learning
  • Proven experience on developing deep learning models using TensorFlow, PyTorch, Keras, and similar tools
  • Strong computer vision fundamentals especially around object detection and tracking, 2D/3D Multiview, and segmentation
  • Strong hands-on experience in deep learning frameworks such as TensorFlow, PyTorch, Keras
  • Strong hands-on experience with Python/C++
  • Strong experience and understanding of modifying and applying supervised/un-supervised machine learning algorithms on visual data
  • Hands-on experience with OpenCV
  • Strong understanding of machine learning, proficient at data analysis, training evaluation, and fine-tuning.
  • Bonus: Experience in Robotics, 3D Computer Vision, or AR/VR

BLOCKCHAIN TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. BLOCKCHAIN TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

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