AI Solutions Architect
Toronto, Ontario, Canada
Full Time
Mid Level

A Leader in Automating Intelligent Industrial Operations

Canvass Analytics is disrupting the way industrial operational data is being used to make critical business decisions.  The Canvass AI Platform helps transform plant operations, delivering predictive insights that empowers decision-making based on operational data rather than intuition. 

 

Canvass is building an AI-powered analytics platform to transform the industrial sector. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

The Role

You are a skilled AI Architect who has experience in design and development of machine learning, data mining solutions, recommender systems, data warehouse, business intelligence, information visualization, distributed data processing and software design and development. As an AI Architect at Canvass Analytics you will work in cross functional agile teams with other highly skilled engineers, product managers, designers and machine learning engineers to build out the AI ecosystem.

Responsibilities & Duties

As a member of the Customer Success team, you will work closely with Customer Success, Sales, Engineering and our customers to:

  • Be the trusted solutions advisor for our customers and partners.

  • Own customer-related technical activities and relationships as part of production implementation, and adoption, and lead end-to-end solution design.

  • Communicate effectively with a diverse audience of internal and external stakeholders consisting of engineers, business people, partners, and executives.

  • Translate business cases and requirements into value based technical solutions through the architecture of AI workflows and systems from data ingestion to model deployment.

  • Demonstrate AI solutions with engaging storytelling and technical accuracy.

  • Architect, design, and deliver AI solutions quickly to demonstrate Proof of Concepts/Value.

  • Gather customer feedback so that you can work with the Canvass Engineering and Product teams to further enhance our platform.

  • Work in a collaborative and agile team environment with changing and ambiguous requirements.

Requirements

  • 7+ years of relevant industry experience with a focus on providing architectural and AI solutions.

  • Excellent understanding of system engineering concepts and good command of working in Linux based environments.

  • Good understanding of the cloud ecosystem; preferably Azure.

  • Experience in machine learning, AI or a related field.

  • Experience with Python.

  • Possession of skills needed to help sell software and solutions through articulating value rather than just features and functions.

  • Ability to explain a complicated subject in a clear and understandable manner.

  • Knowledge of basic statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).

  • Demonstrated experience working with big data use-cases to manipulate data and draw insights, as well as an understanding of standard design patterns commonly used.

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Why join Canvass?

Canvass Analytics is using AI to automate operations for the industrial sector. We are changing the way the industry thinks about and uses AI, and it’s getting noticed everywhere.

We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startup and by the Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures. 

What's it like working at Canvass? This is a place where everyone is all-in.  From the CEO to the newest hire, we all pitch in where needed and do what it takes.  We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions.  We appreciate the efforts, innovation and results of our team. 

Apply now!

Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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