Maneva
AI-powered computer vision and predictive systems for manufacturers
ForwardDeployedEngineer(FDE)
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployed Engineer (FDE) at Maneva. Skills: AI systems deployment, customer integration, production hardening, data pipelines, edge-to-cloud capture, model deployment, monitoring, feedback loops, software troubleshooting, networking troubleshooting, integration troubleshooting, documentation, architecture documentation, configuration documentation, formal handover artifacts, training, on-site data collection, on-site data annotation. Own the end-to-end lifecycle of AI deployment for manuf”
What You'll Achieve.
optimize production quality and throughput; successful adoption and operation of deployed systems
Industry & Context.
Troubleshoot software, networking, and integration issues in live production environments.
On-site data collection and annotation as needed.
What They're Looking For.
Must Have
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 English
Nice to Have
Professional experience working in industrial automation or manufacturing environments involving OT/IT integration
What You'll Do.
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
and customer cloud platforms.
Build and iterate data pipelines and customer-side data flywheels
covering edge-to-cloud capture
Troubleshoot software
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.
How You'll Work.
Team & Collaboration
Embed with customer operations and IT teams; Contribute field learnings to the product and engineering roadmap
Communication Scope
Professional working proficiency in English; Train customer operators and engineers in both French and English
Process & Methodology
Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
Full Job Description
Maneva is a leader in AI-powered computer vision and predictive systems for manufacturers, delivering integrated solutions that connect edge devices and factory systems with cloud software to optimize production quality and throughput. As a Forward Deployed Engineer, you will play a pivotal role in deploying advanced AI systems directly into customer environments, acting as the primary technical contact and trusted advisor for strategic manufacturing accounts. Key responsibilities include: * 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** ### Required Qualifications: * 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 * Clou
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