Senior Computer Vision Engineer (вакансія неактивна)

Requirements:
— Strong knowledge in computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Haar Cascades, Homography, Morphology, Denoising/Deblurring, and image processing algorithms
— Strong Python knowledge
— Strong practical experience with DL/CV frameworks like OpenCV, PyTorch, MXNet, Tensorflow, or Keras
— Experience with some of the well-known neural networks architectures such as Yolo, MobileNet, U-Net, R-CNN-based architectures
— Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition
— Upper-intermediate level of English mandatory

Would be a plus:
—Experience with R, C++
—Experience with 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 DL frameworks: DLib, Darknet, Theano.
—Awareness of CRISP-DM process model
—Experience with continuous integration and release management tools, preferably within the AWS platform.
—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

With us you can:

Develop your technical knowledge:
— Use latest technologies
— Participate in technical events and conferences (the cost is covered by the company)
— Regular techtalks and professional development

Improve your soft skills:
— Build strong teamwork skills and become an essential part of the dynamic teams
— Improve your English at classes and speaking directly with clients
— Increase your productivity and communication level via Scrum, Kanban, Agile methodologies

What else do we offer?
— Competitive compensation and benefits
— Flexible and negotiable schedule
— Nice and comfortable office
— Covered rest period (20 business days)
— Free English classes (we have 3 teachers in our team)
— Truly friendly atmosphere and unforgettable events
— Discounts offered by individual bonus cards (our partners are coffee shops, bars, and fitness centers)

Every year, each large retailer & CPG needs to make billions of dollars of granular category management, merchandising, and supply chain decisions.
You are welcome to work with Project is a cutting edge machine learning company that enables them to make these decisions in advance, holistically, with confidence towards the utmost financial impact.
We provide an AI-decision engine. This technology layer easily integrates to supercharge a retailer or CPG’s workflow.

All running with the customer environment, constantly learning based on actual results. We specialize in RETAIL and CPG AI-driven predictions, forecasts and recommendations for Category Management, Pricing and Promotions, and Demand Forecasting.
Why Project is unique?
It focuses specifically on category management and forecasting models through the use of a central hyper-optimization AI engine. It reviews all category management decisions across your product and merchandising journey, allowing us to predict the impact of every individual and collective action.
What It Means for Users?
Visibility to the future performance of your collective decisions.
Fact-based recommendations driven by all available datapoints.
Outputs that speak your language and follow your process.
Constant monitoring of behavior changes with recommendations on what to do.