We're hiring a Principal Process Development Engineer to work with industrial customers to support the deployment of AI-driven solutions in technical and operational environments.This is a cross-functional role that combines engineering, customer collaboration, data analysis, and technical problem-solving. You'll work with a range of stakeholders to understand operational challenges, analyze process and production data, develop models and workflows, and help drive improvements using the company's platform. Full time Permanent Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally.amazon work from home canada post walmart government amazon warehouse no experience We're hiring a Principal Process Development Engineer to work with industrial customers to support the deployment of AI-driven solutions in technical and operational environments.

This is a cross-functional role that combines engineering, customer collaboration, data analysis, and technical problem-solving. You'll work with a range of stakeholders to understand operational challenges, analyze process and production data, develop models and workflows, and help drive improvements using the company's platform. The ideal candidate is comfortable engaging with technical teams, working with data and analytical tools, and translating technical findings into practical business outcomes.

Internally, you'll act as a technical subject matter expert and advocate for customer needs across manufacturing and process-related initiatives. Externally, you'll support enterprise customers by partnering with engineering and operations teams to maximize value from the platform, whether by improving existing workflows or helping implement new solutions. In collaboration with Sales, Product, and Engineering, you'll also contribute to identifying new use cases and shaping future platform capabilities.





Partner with customers to support deployment and adoption of platform solutions Lead onboarding and implementation efforts across technical and operational environments Build relationships with engineering, operations, and leadership stakeholders Identify opportunities for operational improvement and data-driven insights Translate customer challenges into actionable technical solutions and product feedback Support projects from discovery through implementation and impact measurement Technical Analysis & Problem Solving Develop analytical models, simulations, and workflows using Python and related tools Work with industrial data systems and manufacturing datasets Collaborate with product and engineering teams to improve platform functionality Communicate technical findings to both technical and non-technical audiences Support troubleshooting and continuous improvement initiatives in complex operational settings 5-7 years of experience in manufacturing, process engineering, or related industrial environments Candidates should have demonstrated experience building mechanistic models from fundamental transport, reaction, thermodynamic, kinetic, and cellular processes rather than purely empirical or machine-learning approaches. Upstream bioprocess modeling (cell culture, microbial fermentation, metabolic and growth kinetics, nutrient consumption, product formation) Digital twins and process simulations for biologics manufacturing facilities Mechanistic modeling for process optimization, control, technology transfer, capacity planning, or process development Experience implementing models in MATLAB, Python, gPROMS, Aspen Custom Modeler, COMSOL, Julia, or similar platforms Experience supporting commercial manufacturing, process development, or manufacturing science and technology (MSAT) teams Ability to derive, calibrate, validate, and interpret mechanistic models using experimental and manufacturing data #

📌 Manager, Data Engineering & Governance (Winnipeg)
🏢 GroupHEALTH Benefit Solutions
📍 Winnipeg