AI Full Stack Developer - (Visa sponsorship for Canada)

  • Montréal, Canada
  • Industry : Computer Software
  • Employment Type : Full-Time
  • Start Date : ASAP
  • Contract Type : Permanent Contract
  • Education Level : Technical Academic Degree
  • Location : Montréal Montréal


Who we are

CIC Montreal is an IBM Client Innovation Centre operated by LGS, a wholly owned subsidiary of IBM. The Centre provides services in application development and support to public and private Canadian organizations. Focussed on innovation, CIC Montreal employs a large number of young professionals who are supervised and mentored by more experienced employees. It is distinguished by a capacity to simultaneously offer large-scale projects, highly stimulating professional challenges, an environment favorable to continuous learning, professional mentoring and, lastly, opportunities for career advancement. CIC Montreal enables our clients to raise their productivity, reduce costs, improve their innovative capacity and accelerate their time-to-market.

What you will do

  • Custom product development across the full stack of user interface, API, data, analytics development and support services.
  • Design, code, and test in Agile environments
  • Independently develop ideas and thrive in a fast-paced start-up and delivery focused environment.
  • Actively participate in application design
  • Communicate clearly and compellingly with the stakeholders of the product.


What you need to have

  • 3+ years of experience in full-stack development of various middleware and application components (NodeJS, React, Angular, JavaScript, SQL, NoSQL, REST API, Python, HTML & CSS)
  • 3+ years of experience in REST/SOAP service design and development
  • 3+ years of experience in using relational databases (e.g.: DB2, PostgreSQL, MySQL)
  • 3+ years of experience in Cloud solution development for data storage, processing and consumption (Bluemix, AWS, Azure)
  • 3+ years of experience in managing a team
  • Fluency in English or French, both oral and written. Bi-Lingual proficiency will be preferred.

It would be great if you were familiar with

  • Experience in Embedded systems development for sensor interfacing and data transmission (RaspberryPi, Arduino, EmbeddedC)
  • Experience in AI/Machine Learning models training for pattern classification and computer vision applications (Python, SciPy, OpenCV, TensorFlow, Caffe, Keras, Chainer)
  • Experience in Analytics for data analysis and modeling (R, Hadoop, Spark, MapReduce, Pig Latin)

Must have a technical academic degree in the Comp engineering, Comp Science, Electrical engineering, Systems Engineering, Mechatronic engineering or Mathematics & Statistics field.
Masters or PhD credentials will be considered an asset.
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