Process Modelling

1 week ago


Old Toronto, Canada Basetwo Artificial Intelligence Inc. Full time

Basetwo Artificial Intelligence Inc. is revolutionizing manufacturing with its cutting-edge cloud-based SaaS platform.

About Us

We're a fast-growing Toronto-based startup backed by Boeing and top VCs in the Boston, Toronto, and Bay Area ecosystems. Our platform enables manufacturing engineers to rapidly design, build, and operationalize digital twins to optimize production processes.

The Role

As the Head of Process Modelling & Control, you will lead our team of Process Modellers and actively contribute to defining and delivering the product vision of our simulation engine. You will partner with Customer SMEs and our Engineering team to deliver product-driven simulation solutions for heavy industrial and manufacturing sectors.

Your Key Responsibilities:

  • Collaborate with manufacturing SMEs to understand challenges, identify technical requirements, and implement advanced modeling and control solutions
  • Develop heat and mass balance model templates for real-world chemical processes and combustion systems
  • Drive product development related to simulation, model predictive control, and optimization, working with cross-functional teams to support roadmaps and feature iterations based on customer feedback
  • Provide senior guidance on Basetwo's simulation strategy and solution development
  • Advocate for best practices among the simulation team
  • Support customer SMEs with configuring, training, and deploying simulation models with manufacturing and lab datasets
  • Develop custom data transformation, modeling, and optimization algorithms based on customer SME requirements

Your Qualifications:

  • BASc, MASc or PhD in Chemical Engineering or equivalent
  • 8+ years of experience with process modeling in real-world/industrial environments
  • Product-driven thinking, mapping customer pain points to product features
  • Proven skills in modeling and control, with research/work related to process control, optimization, simulation, and time series data
  • Comfort building first-principle models and controllers from scratch in Python, researching complex problems through literature
  • Significant experience with Python scientific/engineering computing stack: dataframes (Pandas), Numpy, Scipy, and data visualization tools (e.g., matplotlib)
  • Strong technical communication skills, comfortable with delivering technical presentations


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