Pawsitive Technology Ltd. is deeply honored to have been selected for the INNOFENSE Innovation Center. This opportunity to collaborate with iHLS Israel Homeland Security and the DDR&D (MAFAT) - Directorate of Defense Research & Development on our dual-use technology, which focuses on enhancing the capabilities of both military and civilian working dogs, is not only a privilege, but a true life mission, especially in light of the ongoing war. Pawsitive’s machine learning-based system is designed to assess, monitor, and predict a dog’s ability to adapt to various roles, evaluate its performance, and ensure the well-being of these invaluable working dogs.
关于我们
Pawsitive is a machine learning-based system that provides objective analysis of military and civilian working dogs' anxiety levels, selective attention, and activity. It is designed to evaluate, monitor, and predict a dog's capacity to adapt to various professions, assess performance, and ensure the welfare of the dogs.
- 网站
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www.pawsitivetechnology.com
Pawsitive Technology Ltd.的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 类型
- 私人持股
- 创立
- 2024
- 领域
- Dogs' behavior、Machine Learning、K9、Working dogs、Therapy dogs、Service dogs、Security forces dogs、Selective attention、Anxiety、Activity、PTSD、Monitoring mental and physical morbidity in dogs、Classification of dogs和Evaluation of working dogs
Pawsitive Technology Ltd.员工
动态
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Pawsitive Technology Ltd. is looking for an Intern Backend Engineer – AI & ML Development. We are developing a cutting-edge machine learning-based system that provides objective analysis of military and civilian working dogs’ anxiety levels, selective attention, and activity. This AI-driven platform assesses and predicts dogs’ suitability and performance in specialized roles. What awaits you? ? Developing and optimizing an ML-based platform for quantifying dog behavior. ? Building and scaling backend systems with a focus on cloud-based AI solutions. ? Implementing and fine-tuning Large Language Model (LLM)-based applications using the latest algorithms and frameworks. And more ?? What should you bring along? - Currently enrolled in a bachelor’s degree in computer science, Electrical Engineering, or a related field (preferably 3rd year). - Mandatory: Strong Python programming skills. - Experience with backend development (APIs, databases, cloud services). - Basic knowledge of Angular, React.js, or Vite (mandatory but not advanced). - Basic knowledge of Machine Learning concepts (training, inference, and model deployment). - Hands-on experience with AWS (EC2, S3, IAM, etc.). Internship duration: 6 months with an option to extend. Working Hours: Part-time/ Flexible. Location: Remote and/ or working from our lab at the Technion.
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