Operational Technology Engineer – AI & Data-Driven Production Systems

Technologies we use

About the project

Your responsibilities

• Identify AI use cases with Production, Quality, Maintenance, and OT, define success metrics, acceptance criteria, and rollout conditions
• Lead collaboration with external vendors. Run workshops, align scope, timelines, responsibilities, and control delivery quality
• Review vendor proposals and technical concepts, challenge assumptions, and ensure solutions match production constraints and data reality
• Drive data readiness: KPI definitions, data availability, quality checks, and access to required OT and IT sources
• Coordinate pilots, evaluate results vs KPIs, and make scale-up or stop recommendations based on evidence
• Ensure smooth integration with the OT and IT landscape, including reporting, dashboards, and operational workflows
• Track AI and industrial automation trends and propose pragmatic next steps with clear business value

Our requirements

• Experience delivering data, analytics, automation, or digitalization projects in manufacturing or industrial environments
• Strong stakeholder management and communication skills, including working effectively with external suppliers
• Ability to translate business problems into structured requirements, datasets, metrics, and test plans
• Working knowledge of an analytics stack: SQL plus Power BI and/or Python
• Solid understanding of AI and ML fundamentals, including practical evaluation of LLM-based solutions
• Good English, written and spoken
• We work 4 days from office + 1 day remote

What we offer

• Attractive salary,
• Medical care for employees and immediate family members,
• Various social package (for example Multisport),
• Support for employees in difficult life situations,
• Friendly environment (highest rated indicator in the internal results of employee satisfaction surveys),
• Access to automotive technologies.

Benefits

About the role

Why this role matters