We are looking for a hands-on engineer who can deploy AI/computer vision solutions into real-world manufacturing environments and work directly with customer infrastructure, factory systems, and operations teams. This is not a pure backend or ML research role.
The client is building AI-powered computer vision and predictive systems for manufacturing companies.
The position combines AI systems, industrial infrastructure, edge deployments, networking, and customer-facing integration work. You will own the full deployment lifecycle — from technical discovery and integration to production rollout, troubleshooting, and long-term handover.
Responsibilities * Deploy AI/computer vision systems into live manufacturing environments * Integrate AI systems with factory infrastructure, OT/IT systems, and customer cloud platforms * Work with industrial protocols and factory systems (OPC-UA, Modbus, PLCs) * Configure and support edge AI infrastructure, including NVIDIA Jetson devices and industrial vision systems * Build and improve edge-to-cloud data pipelines * Troubleshoot software, networking, and production integration issues * Work directly with customer IT, operations, and engineering teams * Document deployment architecture and create handover materials * Support customer onboarding, training, and adoption * Participate in technical discovery and pre-sales discussions
Requirements
Must Have * 6+ years of overall technical/engineering experience * 3+ years of production Python development experience * 3+ years of hands-on Linux and Docker experience in production environments * 3+ years of experience with production deployments, infrastructure integrations, or system integration projects * Understanding of networking fundamentals for production environments (TCP/IP, VLANs, firewalls) * 2+ years of customer-facing engineering experience working directly with external stakeholders * Professional English communication skills
Nice to Have * 2+ years of experience with industrial automation or manufacturing systems * 1–2+ years of experience with OPC-UA, Modbus, PLC systems, or industrial networking * 1–2+ years of experience with computer vision or Edge AI systems * Experience with NVIDIA Jetson or similar edge AI platforms * Experience with cloud platforms (AWS, Azure, or GCP) * Understanding of OT/IT infrastructure and factory environments
We Offer * Time Off: 20 paid vacation days and 5 paid sick leaves per year. * Growth: Personalized development plan (PDP) and training compensation. * Perks: Сourse compensations and work equipment (laptop/monitor). * Support: Full accounting support.
