Water resource engineer - in - training supporting flood, river, stormwater, and watercourse projects at Onterris. Assisting modelling, design, field investigations, and regulatory work.
About the role
- Forward Deployed Engineer deploying advanced AI systems in manufacturing environments. Acting as the primary technical contact for clients in a remote role.
Responsibilities
- Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
- Embed with customer operations and IT teams, serving as the main technical advisor and point of contact.
- Integrate AI vision systems with OT/IT/cloud stacks, including OPC-UA/Modbus/PLCs, NVIDIA Jetson edge inference, ERP, and customer cloud platforms.
- Build and iterate data pipelines and customer-side data flywheels, covering edge-to-cloud capture, model deployment, monitoring, and feedback loops.
- Troubleshoot software, networking, and integration issues in live production environments.
- Document architectures and configurations, producing formal handover artifacts for long-term support.
- Train customer operators and engineers in both French and English to ensure successful adoption and operation of deployed systems.
- Participate in pre-sales scoping calls and contribute field learnings to the product and engineering roadmap, helping shape reusable deployment patterns and internal tooling.
- Support on-site data collection and annotation as needed.
Requirements
- 6+ years of experience combining production software engineering with industrial automation and/or applied AI
- Proven experience shipping and supporting production software systems deployed into customer infrastructure
- Production Python development experience with hands-on use of Linux, Docker, and Git in production environments
- Cloud deployment and operations experience with at least one major platform (AWS, Azure, or GCP)
- Hands-on experience with at least one of: OPC-UA/Modbus/PLC integration, NVIDIA Jetson (or equivalent) edge platforms, or GenICam/industrial vision systems
- Networking fundamentals for industrial deployments, including TCP/IP, VLANs, and firewalls
- Experience in a customer-facing engineering role as the primary technical contact for external stakeholders
- Professional working proficiency in both French and English
- Preferred Qualifications:
- Professional experience working in industrial automation or manufacturing environments involving OT/IT integration
Benefits
- Competitive salary of CAD 100,000–140,000.
- Be part of a fast-growing team creating transformative solutions for manufacturing.
- Work on cutting-edge AI and MLOps tools with real-world impact.
- Enjoy a collaborative and supportive work environment.
- Opportunities for professional growth and career advancement.
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