Job VC

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.