Product Engineer, Chemicals

🕒 Junho 26

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 34%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Basetwo AI

Basetwo AI

11 - 50 funcionários

💼 Consultoria

🍽️ Alimentos e Bebidas

📦 Logística

Consulting • Food & Beverage • Logistics

A Basetwo AI é uma empresa focada em transformar a indústria de manufatura através do uso de inteligência artificial. Sua plataforma capacita engenheiros a operacionalizar a IA, permitindo a otimização de processos em diversas indústrias, como farmacêutica, químicos especiais, energia, aeroespacial, bens de consumo embalados e materiais de construção. A Basetwo AI oferece soluções para melhorar a qualidade, transparência e desempenho da manufatura utilizando insights e recomendações gerados em tempo real por IA. Eles oferecem uma interface de baixo código para integrar, simular e otimizar processos de plantas, ajudando a reduzir custos, melhorar a qualidade do produto e agilizar operações de manufatura.

Descrição

• Partner directly with chemical manufacturing customers to deploy and scale Basetwo solutions • Lead technical onboarding and implementation of digital twin projects across pilot, lab, and commercial manufacturing environments • Build trusted relationships with process engineers and scientists, operators, and technical leadership teams • Identify opportunities for process scale up/tech transfer, operational improvement, and AI-driven insights • Translate customer pain points into actionable technical solutions and product feedback • Drive successful project execution from initial discovery through deployment and measurable business impact • Analyze manufacturing, process, and lab/DoE datasets to uncover process bottlenecks and optimization opportunities • Develop simulations, models, and analytical workflows using Python and the Basetwo platform • Work with industrial data systems and historians to integrate and contextualize manufacturing data • Collaborate closely with product, engineering, and machine learning teams to improve platform capabilities • Communicate technical findings clearly to both technical and non-technical stakeholders • Support troubleshooting and root-cause investigations in complex manufacturing environments • Contribute to continuous improvement initiatives across customer manufacturing operations

🎯 Requisitos

• 5–7+ years of engineering experience in chemical manufacturing • Strong understanding of plant, pilot, and lab-scale chemical manufacturing processes • Passion and a strong ability to use Python for simulation, modelling, and process analysis • Proven ability to understand and analyze process and lab/DoE data • Strong communication skills with the ability to work directly with customer stakeholders • Proactive problem-solver with a demonstrated track record of driving continuous improvement initiatives • Experience working in cross-functional technical environments • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable

🏖️ Benefícios

• Work on cutting-edge AI applications in chemical manufacturing • Collaborate with a highly technical and mission-driven team • Solve meaningful problems in chemical production • Gain exposure to leading global manufacturing organizations • Opportunity for ownership and impact in a rapidly growing company • Competitive compensation, equity, and benefits package

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