AI Developer

Montreal, QC, Canada

Applications have closed

Vosker

Outdoor surveillance camera that works anywhere, no need for wi-fi or electricity! Solar powered and weather-resistant, Vosker cellular camera

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Company Description

VOSKER, North America's leader in remote area surveillance.

Every day, we take pride in helping our customers keep an eye on what really matters to them by developing solar-powered, cell-connected cameras on our exclusive platform.

In a few words at VOSKER; We are efficient, we think differently, and we take care of our people ! We take advantage of our expertise to win as a team and redefine what is possible!

Why choose VOSKER?

  • A work environment that allows you to bring your ideas to life and propel you towards your ambitions!
  • A daily without routine, the days follow each other, but are not the same and that's great!
  • A team where connectivity is also a human notion; where the 4@5 are an opportunity to socialize, where sprints allow us to move forward together and where hackathons allow us to innovate.
  • Access to Udemy to develop your potential during your working hours.
  • A hybrid work mode that allows you to work either from home or from one of our offices. The choice is yours!
  • A wellness account that allows you to reimburse expenses related to your well-being, your passions and your interests.
  • Free access to a 24/7 online health care professional and an EFAP.
  • A group insurance including vision and dental care.
  • A new parent supplement for maternity/paternity leave.

Job Description

Vosker is looking for an experienced data science practitioner to join its AI team. The team's main responsibility is to develop, maintain and add features to its image recognition systems. Those systems are used in real world product to enhance the user experience and add capabilities to Vosker's cellular cameras. 

YOUR NEXT CHALLENGES:

Using practical solutions, push the limits of our image recognition technology

  • Perform deep learning workflows to build, train, evaluate and deploy new models;
  • Follow MLOps best practices to develop and improve our machine learning pipelines;
  • Optimize model performances given our operational constraints;
  • Apply software engineering best practices to ensure great code quality and durability/maintainability.

Contribute to solving business problems through our current and future AI/ML initiatives

  • Develop other computer vision capabilities as well as predictive or advanced analytics solutions;
  • Design, prototype, build and execute complete data analysis and machine learning workflows;
  • Productionize and deploy models into functional end products.

Use your experience to bring technical leadership to the team

  • Suggest creative or state of the art solutions through technology watch;
  • Provide recommendations on the best practices;
  • Coach or guide other team members.

Qualifications

  • Hands-on applied “AI” experience and understanding of machine learning concepts and tools;
  • Experience in MLOps and deploying ML products or services in production;
  • Strong analytical and problem-solving skills;
  • Experience interpreting data and communicating results;
  • Ability to deal with ambiguity, to adapt to change and to work collaboratively;
  • Fluent in Python;
  • Comfortable working with tools like Tensorflow, Git, Docker, Bash and AWS.

Additional Information

​​​​​​​Equal access to employment :

At VOSKER, we value the essence of each person and celebrate the diversity that allows us to redefine what is possible. We value collaboration by providing a healthy and inclusive work environment where all voices are heard.

Please contact us if you have specific needs to make this recruitment process more accessible for you.

Now it's your turn to tell us about yourself! All you have to do is apply!

Tags: AWS Computer Vision Data analysis Deep Learning Docker Engineering Git Machine Learning MLOps Pipelines Python TensorFlow

Perks/benefits: Health care Wellness

Region: North America
Country: Canada
Job stats:  18  5  0

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