Position: Computer Vision/ Machine Learning Engineer
Company: ITS Partner
Experience required: 3y
Category: Data Science
English level: intermediate
Published: 2021-11-01T00:00:00+02:00

Requirements
- Design models for achieving specific video or audio analytic goals
- Perform model training and optimization
- Design and implement algorithms for performing a variety of computer vision or audio related tasks
- Create or modify software and tools for implementing your algorithms and models on cloud infrastructure and edge devices
- Work with data engineers to wrangle datasets to train and test your models
- Work with a team of software and hardware engineers to deploy the software and tools that you have developed
- Work with product marketing teams to help productize product features in a compelling fashion, understand customer feedback and define new iterations of product features

Skills and Requirements:
- Expertise in computer vision and machine learning
- Experience in software development in company, startup, or other industrial framework
- Experience with deep learning frameworks such as TensorFlow, PyTorch, MXNet, etc
- Experience with OpenCV
- Familiarity with state of the art for computer vision. Deep knowledge of at least one of the following approaches: CNNs and deep learning, SVM, 
- Bayesian Networks, boosting, feature based detection (SIFT/SURF family), object tracking, video analytics, audio analytics
- Strong fluency in C++ and/or Python
- Experience using development tools such as GIT
- Good verbal and written communication skills
- Ability to work independently

We Offer
- Interesting technical challenges and experience with Silicon Valley standards;
- Trips to other offices of the company to exchange experiences
- Official employment
- White salary with protection against exchange rate fluctuations
- Quarterly awards for achievements
- Flexible working hours
- Paid sick leave, annual leave
- Free English language training
- Access to training platforms, compensation for additional courses, conferences, meetups and everything that you need for development