Computer Vision Engineer (offline)
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, 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.
Would be a plus:
—Experience using C++ in CV-related projects.
—Experience with following modern neural networks architectures: Res-Net and other state-of-the-art ANN backbones, CTC-RNN, GANs, Tesseract API for OCR
—Understanding SOTA machine learning problems like Unsupervised/Semi - super v ised Learning, Transfer learning
—Experience working with LIDAR and stereo vision camera.
—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 common architecture of an MLOps system by the means of Hadoop, Docker, Kubernetes and cloud services.
—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, 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.
Would be a plus:
—Experience using C++ in CV-related projects.
—Experience with following modern neural networks architectures: Res-Net and other state-of-the-art ANN backbones, CTC-RNN, GANs, Tesseract API for OCR
—Understanding SOTA machine learning problems like Unsupervised/Semi - super v ised Learning, Transfer learning
—Experience working with LIDAR and stereo vision camera.
—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 common architecture of an MLOps system by the means of Hadoop, Docker, Kubernetes and cloud services.
About INSART
INSART is a strategic technology partner for the top Fintech companies.Our big goal is to transform INSART from an outstaffing agency into a strategic technological partner for 100+ top Fintech companies with overall 100+ million users for all clients before 2030.
Areas of expertise: Paytech, Money Remittance | Digital Banking, Neobanks | Wealthtech, Robo-Advisors, Personal Finance | Asset Management, Investment & Savings | Trading & Capital Markets | Insurtech | Lendtech, Alternative Loans, Re-financing | Real Estate & Mortgages | Crowdfunding Fundraising Platforms | Nonprofits | Donations | Accounting, Corporate Finance, Payroll & Benefits | Regtech, Compliance & Online Cybersecurity.
We are a team of 90+ people passionate in Fintech and software engineering, located primarily in Kharkiv (Ukraine) and Krakow (Poland) with the headquarters in Miami, Florida (USA).
What we stand for? 🚀
INSART helps Fintech companies build the most innovative, convenient, secure, and cost-effective software products and solutions.
We use our technological, management, and domain expertise and provide secure teams of software engineering experts to solve business challenges of our clients.
We aim to transform all verticals of the legacy financial industry and to provide people with the tools to achieve financial freedom in the digital world.
You can learn more about us at www.insart.com
FinTech expertise:
- Online Payment Systems & Payment Processing
- Wealth Management & Robo-advisors
- Lending & Fundraising
- Trading Platforms & Algorithms
- Insurances & InsurTech
- Online Security
- Blockchain & Cryptocurrencies
- Big Data Analytics
Technologies by system architecture layers:
- Backend/Server: Java, Spring, Hibernate, JBoss, Tomcat, WebLogic, Tapestry, Faces, EJB
- Frontend/Web: JavaScript, Angular.js, Ember.js, React.js, Backbone.js, REST, HTML5, CSS3
- SQL DBs: PostgreSQL, MySQL, Oracle, MS SQL Server, IBM DB2
- NoSQL DBs: MongoDB, Couchbase, Neo4j
- Big Data: Spark, Hadoop, Hazelcast, Kafka, Elasticsearch
- Data Science & Analytics: R, Python, C++, OLAP, MatLab
- Mobile: Android Java, iOS Objective-C, Cordova, JavaScript, HTML5, CSS3
- Embedded: C/C++, Embedded Linux
- Cloud: Amazon AWS, Heroku
Company website:
http://insart.com/
DOU company page:
https://jobs.dou.ua/companies/insart/
The job ad is no longer active
Look at the current jobs Data Science Kharkiv→
Average salary range of similar jobs in
analytics →
Similar jobs
Middle NLP Engineer at CHI Software
Ukraine, Poland
Ukraine
Senior Data Scientist at Cloud Works
Ukraine
All jobs Data Science Kharkiv All jobs