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Machine Learning Engineer

Intel


Location:
Nizhni, RU
Date:
01/22/2018
2018-01-222018-02-20
Job Code:
JR0047961
Categories:
  • Engineering
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Job Details

Machine Learning Engineer Careers at Intel in Nizhni,
   
Job ID: JR0047961
Job Category: Engineering
Primary Location: Nizhni, RU
Other Locations:
Job Type: Intel Contract Employee

Machine Learning Engineer

Job Description
As a Computer Vision Engineer, you will be challenged to build computer vision CV based products/solutions. You will create and implement new or use existing traditional and deep-learning CV algorithms to solve applied problems in various domains such as Automotive, Digital Security and Surveillance, Retail, Robotics, Industrial, etc. Your responsibilities will include, but not be limited to:Interact with users to define requirements for CV based product/solutions. Study current leading approaches and algorithms, analyze the latest industrial trends and research papers. Generate novel ideas on computer vision algorithms, implement and evaluate them. In either research environments or specific product environments, utilize current programming methodologies to translate CV algorithms into software. Complete programming, debugging, testing, validation, documentation and/or deployment of the solution/products. The position is temporary while the employee is on maternity leave of absence.


Qualifications

Inside this Business Group

Employees of the Internet of Things Solutions Group (IOTG) have an exciting opportunity before them: To grow Intel's leadership position in the rapidly evolving IoT market by delivering the best silicon, software and services that meet a wide range of customer requirements - from Intel® Xeon® to Intel® Quark®. The group, a fresh, dynamic collaboration between Intel's Intelligent Solutions Group and Wind River Systems, utilizes assets from across all of Intel in such areas as industrial automation, retail, automobiles and aerospace. The IOTG team is dedicated to helping Intel drive the next major growth inflection through productivity and new business models that are emerging as a result of IoT.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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