IoT & AI Developer – Coop

This job posting expired and applications are no longer accepted.
IBM
Published
February 7, 2020
Location
Toronto, Canada
Category
Job Type

Description

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment.  The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact!

Your Role and Responsibilities

This position resides in Toronto, Ontario and is a 4-month work term commencing May 2020. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work term.

Having the freedom to bring your ideas and past experience into practice, this role allows an IoT enthusiast to work with various gadgets and robotics equipment, combined with latest technologies like AI, AR, Blockchain, key objective for this role is to realize an IoT ideas into reality. This position will expose the interns to technologies like drone, visual recognition, data modeling with sensor data, voice recognition, etc. Interns in the practice also have the opportunities to be coached by experienced engineers and Ph.D engineering graduates to conduct researches on advanced technologies like facial recognition, feature engineering, auto-encoding technique, etc. Some of the past students, leveraging what they have learned from this practice have become entrepreneurs and running their own startups. Within the execution of the project, interns will have opportunity to learn about various technologies in IBM cloud, AWS, and Azure. Below provides a more detailed description of the various technologies used in past projects.

IBM Watson IoT platform is an industry leading cloud solution that allows you to:

  • Connect and manage IoT devices, networks and gateways
  • Integrating IoT data with structured and unstructured data from other sources
  • Gaining insights from information using real-time, predictive and cognitive analytics
  • Secure IoT data with Blockchain
  • Develop custom machine learning algorithms using both IBM Watson and open source Deep Learning, CNN, and Computer Vision software
  • Deploy embedded computing and edge analytics to IoT systems

We are looking for developers that can work in one or multiple roles as below:

Required Technical and Professional Expertise

Co-op or internship program enrollment is mandatory

  • IoT Platform / Full Stack Developer

    • Experience with cloud platforms development environments including AwS, Bluemix and Azure
    • Understanding of API specs and knowledge of how to create and integrate with REST services using NodeJS, ExpressJS, Sails.js, Java, etc
  • AI / Machine Learning Developer

    • Hands-on experience with fast prototyping using public libraries and APIs for Machine Learning or Deep Learning
    • Experience with Python, C#, C++, Scala, LUA, JavaScript, Matlab, or Java
  • Embedded Systems Developer
    • Understanding of IoT hardware, sensors, gateway, network, etc
    • Programming skills with C, c++, python, JS, Java, etc
    • Comp eng, Electrical eng, Mechanical eng, Systems Eng, Nanotech eng, Mechatronic eng
    • Minimum of two co-op work terms in a development role

Preferred Technical and Professional Expertise

  • Experience with SQL and noSQL databases. Big data (Hadoop, Spark) platform is a plus
  • Comp Eng, Comp Sci students with strong API and web development skills
  • Frameworks such as Caffe, Chainer, Tensorflow, Synaptic, eblearn, torch, shark, etc…
  • Comp Eng, Comp Sci students with strong Math and programming skills
  • Capable of interfacing with sensors, gateways, and transceivers using embedded stack protocols and edge computing

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