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Computer Vision Engineer

Published on Aug 27, 2021
N-iX

An Outstaff company with offices in Kyiv, Ukraine; Lviv, Ukraine.

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Experience:
3-5 years
Job Type:
Full-Time
Remote
Specializations:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • Investigating, prototyping and productizing solutions based on the computer vision technologies, deep machine learning models
  • Find the optimal balance between setting and maintaining a research direction, and day-to-day delivery of robust technologies
  • Determine implementation and optimization of algorithms
  • Develop new and implement existing computer vision technologies for the logistic area
  • Optimize code to perform in the Cloud. Edge Computing is a plus.
  • Deploy models into our Cloud production environment that will be used by in a real-time setting
  • Develop embedded computer vision solutions: android / iOs, microcomputers – e.g. nvidia jestson nano
  • Develop ML pipelines for continuous machine learning (MLOps)
  • Develop microservices and serverless functions based on computer vision technologies
  • Develop mobile applications

What You Should Bring
Must-have
  • Experience taking a computer vision-based project from the initial concept to production
  • Experience or strong familiarity with deep learning frameworks such as Tensorflow, Pytorch, Keras, Yolo etc.
  • Experience training and serving computer vision models – object detection or segmentation, OCR, etc
  • Solid knowledge of OpenCV
  • Experience developing software and algorithms for computer vision, machine learning or computer graphics applications
  • Deep understanding of machine learning fundamentals
  • Experience with open source computer vision and linear algebra frameworks
  • Strong instincts for efficiency and optimization
  • 3-4 years coding experience in one of these languages: Python, C++, Java, Kotlin
  • Highly competent in data science techniques and software libraries
  • Experience with dockerisation of computer vision components
Nice-to-have
  • Experience in Cloud based AI/ML platforms such as AWS Sagemaker, Azure ML, Google AI products
  • Knowledge of Kotlin (Java)
  • Understanding of microservice patterns
  • Knowledge of Kafka and experience with scalable recognition pipelines

What You Will Get Benefits
  • Flexible working hours
  • A competitive salary and good compensation package
  • Best hardware
  • A masseur and a corporate doctor
  • Healthcare & sport benefits
  • An inspiring, comfy, clean and safe office


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