Position: Computer Vision/Deep Learning expert with Python
Company: Unicsoft
Experience required: 3y
English level: upper

What you’ll be doing

- Develop and advance a video analysis technology for basketball games
- Explore research ideas, build prototypes, measure your progress with eval systems
- Produce algorithms, architectures, tools, and data pipelines
- Productize the most promising ideas

About you

- Strong background in computer science
- Solid understanding of machine learning and deep learning applied to image processing or video processing
- Familiarity with python, IPython, TensorFlow
- Ability to organize and communicate your research based on progress measurements
- Experience with large volumes of data including working with and building data pipelines, parallel processing
- Experience processing data and training models cost effectively
- Ability to comfortably use Google cloud for research purposes
- Knowledge of recent developments in AI and deep learning
- Experience/strong interest with sequence analysis (NLP, audio, video) is a plus
- Experience/strong interest with computer vision and image processing is a plus
- Experience/strong interest with video analysis technology is a plus
- Familiarity with web technologies such as HTTP, Javascript, HTML is a plus - suggest to scratch that
- Experience developing production systems is a plus
- MS/PhD in STEM is preferred
- Experience working in agile teams is plus
- Capable to work in English speaking team
- Passion or familiarity with team sports is a bonus

About the product

Team and player evaluation is the key to winning games. It requires thousands of hours and hundreds of guesses. It's an AI-powered sports analytics platform that makes the player evaluation process faster and reduces risk

Team

Our team is comprised of former pro athletes that are experienced in sales and sports tech, and a talented technical team of engineers and data scientists. We are an integrated team that works together to solve real problems for our customers.