AI & Automation System Engineer

  • Salary

    2 300 € (brutto)

    The salary amount depends on the candidate's experience and seniority. Each candidate is assessed individually.

  • Location

    Kežmarok

  • ID

    1546

  • Contract

    -

POSITION SUMMARY

As Industrial AI & Automation Systems Engineer, you will identify, design, and help deploy AI-enabled improvements across manufacturing and business processes. The role is suited to a systems-oriented engineer who can connect operations, quality, maintenance, engineering, and digital tools to deliver measurable results.

You will contribute to digital transformation initiatives involving AI, automation, advanced analytics, and physical AI applications such as machine vision, smart sensing, robotics, or connected equipment. The focus of the role is on safe, scalable, and practical solutions that support improvements in quality, productivity, cost, delivery, and operational reliability.

MAIN RESPONSIBILITIES

  • Identify and support AI, automation, and digitalisation opportunities across manufacturing and support processes
  • Analyse production systems and workflows to identify inefficiencies, variation, and improvement potential
  • Develop and help implement AI-enabled solutions using data from manufacturing, quality, and business systems
  • Contribute to practical physical AI applications such as machine vision, predictive maintenance, robotics support, and smart sensing
  • Work with cross-functional teams to ensure solutions address operational needs and can be adopted successfully
  • Support digital transformation projects from idea through pilot, validation, implementation, and sustainment
  • Create dashboards, workflows, and decision-support tools that improve visibility and problem solving
  • Apply structured improvement methods such as Lean, root cause analysis, FMEA, and statistical thinking
  • Help ensure that solutions are secure, maintainable, and aligned with technical, safety, and organisational standards
  • Keep up to date with relevant developments in AI, automation, and digital manufacturing, and assess their practical value for the site

Minimum education required

University education (Master's degree)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

Required Qualifications

  • Degree in Industrial Engineering, Chemical Engineering, Manufacturing Engineering, or a related engineering discipline
  • Experience in a manufacturing, production, process, or industrial environment
  • Strong systems-thinking capability and a structured approach to problem solving
  • Interest in applying AI, automation, and digital tools to practical manufacturing challenges
  • Knowledge of continuous improvement methods such as Lean, Six Sigma, root cause analysis, SPC, or FMEA
  • Familiarity with manufacturing systems and data environments such as MES, ERP, SCADA, IoT, SQL, or Power BI
  • Ability to work collaboratively across functions and translate operational needs into scalable solutions
  • Good command of English, both written and spoken

Preferred Qualifications

  • Exposure to physical AI technologies such as machine vision, robotics, smart sensors, edge AI, or connected equipment
  • Working knowledge of digital application tools such as Power Platform, Python, low-code/no-code tools, or modern analytics platforms
  • Experience with programming, industrial communication protocols, or embedded systems would be an advantage depending on application needs

PERSONAL ATRIBUTES

  • Systems thinker with strong problem-framing ability
  • Curiosity and passion for improvement, learning, and practical AI adoption 
  • Communication and stakeholder influence skills 
  • Analytical, methodical, and structured approach 
  • Bias toward action and experimentation with sound judgment 
  • Collaboration and teamwork across functions 
  • Persistence and ownership 
  • Attention to detail balanced with strategic perspective 
Kežmarok