Currently open positions

Updated 2017/10/06

 

Data Engineer

 

Description

The data engineer has a central role in our vision of delivering solutions based on learned algorithms. Data quality and reliability is paramount to delivering accurate, repeatable and robust solutions to our clients. In the data engineer role you will contribute to numerous strategic projects for Clemex. You will interact with product management, machine learning applied research and the development team. You will be part of the machine learning team and share knowledge on best practices on data management within that team. Located in Montreal, our R&D team is small, friendly, dynamic and strongly oriented towards innovation.
 

Role

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Train machine learning models provided by Clemex machine learning team
> Interact with machine learning team for improving machine learning and computer vision models
> Interact with product management for defining and reporting of machine learning and computer vision model performance
> Design and build data models for our datasets
> Maintain our machine learning data center
> Manage data acquisition and annotation team
> Develop, measure and ensure data quality and reliability through statistical methods
> Deploy machine learning and computer vision models in production
   

Talents and requirements

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Bachelors degree in computer science or related field 
> Experience with design and building 
> Good written and verbal communication skills in both English and French
> Interest and basic knowledge in training machine learning models provided by our machine learning team
> At the personal level, easy-going and very respectful
> Very important : capacity to work in teams
 
 

About Clemex

Clemex Technologies Inc. develops, manufactures and markets image analysis systems and software used by quality control and research microscopy laboratories Clemex’ customer base spans over many countries in America, Europe, Asia. The company encompasses major Research and Development Centers, prestigious Universities and large manufacturing industries in various fields including healthcare, automotive, aerospace, raw materials manufacturing, pharmaceuticals, mining and other sectors.

 

 

Machine Learning Scientist

 

Description

The machine learning scientist is central in making our vision of delivering intelligent solutions to our customers ever more real. Through your work, Clemex will be able to provide automated measurements that are more accurate, repeatable, robust and reproducible. In this role you will propose, explore and develop machine learning and computer vision research projects that can bring value to the company. You will also share your knowledge of best practices with the other machine learning scientist as well as our dev team. Our team is small, friendly, dynamic and highly oriented towards innovations.


Role

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Participate in defining technical specifications of machine learning and computer vision tasks with product manager
> Develop new machine learning and computer vision models
> Help defining data collection and annotation methods for the data collection and annotation team
   

Talents & Requirements

> Ph.D. in a machine learning or computer vision related field + 1 year experience (internship counts)
> or M.Sc in machine learning or computer vision related field + 3 year experience (internship counts)
> Understand statistical methods behind computer vision and machine learning models
> Experience with implementing and training machine learning models
> Experience with python programming
> Nice to have : experience with tensorflow, theano or pytorch
> At the personal level, easy-going and very respectful
> Very important : capacity to work in teams, collaborate on applied research projects, exchange ideas
> Capacity to communicate and transfer knowledge to other scientists
   
 

 

 

 

 
 

 

About Clemex

Clemex Technologies Inc. develops, manufactures and markets image analysis systems and software used by quality control and research microscopy laboratories Clemex’ customer base spans over many countries in America, Europe, Asia. The company encompasses major Research and Development Centers, prestigious Universities and large manufacturing industries in various fields including healthcare, automotive, aerospace, raw materials manufacturing, pharmaceuticals, mining and other sectors.