CHI Software is looking for a Senior CV Engineer to join our team!


— MS/PhD degree in computer science or related field;
— Deep knowledge and proven practical experience in a relevant field of research, such as machine learning, computer vision;
— Solid Experience architecting and developing AI and machine learning applications;
— Strong understanding of machine learning algorithms and deep networks;
— Experience with some of the well-known neural networks architectures such as Yolo/SSD, MobileNet, U-Net, Hourglass, RetinaNet, R-CNN-based architectures;
— Strong knowledge in machine learning fundamentals i.e. regression models, decision trees, naïve Bayes, clustering algorithms (k-means, DBSCAN, SOM), dimensionality reduction (PCA, t-SNE) and a good grasp of the strengths and weaknesses of specific approaches. A good foundation in basic statistics and linear algebra;
— Strong knowledge in classical computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Homography, Morphology, Denoising/Deblurring, and image processing algorithms;
— Strong Python knowledge;
— Strong practical experience with DL/CV frameworks like OpenCV, PyTorch, Tensorflow, MXNet or Keras;
— Comprehensive knowledge of the Python data analyses ecosystem (Pandas, Numpy, Scikit-learn, etc.);
— At least minor experience with python visualisation tools (matplotlib/seaborn, Plotly);
— Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition;
— Experience with lightweight web-frameworks for DL methods exposing, like Flask and Dash;
— Upper-intermediate level of English mandatory.

Would be a plus:

— Experience with C++;
— Experience with the following modern neural network architectures: LSTM and other RNN-based, Transformers(BERT, etc.);
— Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing;
— Understanding SOTA approaches for machine learning problems like unsupervised / semi-supervised learning;
— Experience with the following frameworks: DLib, Darknet, Theano;
— Awareness of the CRISP-DM process model;
— Experience with continuous integration and release management tools, preferably within the AWS platform;
— Experience with versioning and control system for experiment conduction, like DVC and so on;
— Hands-on Experience with the common architecture of MLOps system by the means of Hadoop, Docker, Kubernetes, cloud services and experience with managing production ML lifecycle.

About CHI Software

CHI Software is a development center, based in Kharkiv, Ukraine with representative offices in Ramat Gan (Israel) and Los Angeles (California, the US). We started off as a small web design studio in 2006.
Now we have a team of 500+ experts and complex in-house expertises in different business domains and industries to offer. CHI Software delivers both outsourcing and outstaffing services to startups and reputed companies worldwide.

Our development team includes the following departments: web design, JavaScript, .NET, PHP, Ruby, Python, Java, C++, Mobile (Android and iOS), DevOps and QA, and we also have a great team of BI, BA and Project Managers.

We constantly keep up with the current technology trends, developing Big Data, IoT, Machine Learning, Computer Vision, AR/VR, Cloud (AWS, Azure) solutions.

Company website:

DOU company page:

Job posted on 10 May 2022
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