Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.
The project involves developing a computer vision system to analyze nurse actions, detect the use of disposable objects, and ensure compliance with established guidelines for procedures like medication administration.
Responsibilities:
• Design, develop computer vision systems and systems for video analysis.
• Prototype proof-of-concept (POC) solutions for specific computer vision and machine learning problems to validate ideas.
• Lead projects from prototype to production.
• Identify and resolve performance and scalability issues.
• Actively participate in the team’s software development processes.
Requirements:
required experience 5+ years
• Strong experience in computer vision. Hands-on involvement in the development of multiple Computer Vision projects that have been deployed to production.
• Strong foundational understanding of Machine Learning concepts and how they apply to Computer Vision tasks.
• Strong expertise in processing and analyzing image and video data.
• Hands-on experience developing and fine-tuning models for segmentation, pose estimation, and object detection.
• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
• Excellent object-oriented programming skills, with the ability to write high-performance, production-quality code in Python.
Proficient in English for effective communication.
Start Date:
- As soon as possible (subject to a thorough review and interview process by Softeq and the client).
Location:
- 100% remote work; must have the ability to work overlapping hours with Eastern Standard Time (EST).
