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Job
· Junior
Junior AI Engineer – AI and Digitalization Focus
AI / ML Engineer
• Junior
• On-site
• Full-time
•
Bad Salzuflen, Germany
POS TUNING is looking for a junior AI engineer to digitalize and automate the company's business processes using modern AI technologies. The role spans designing chatbots, intelligent assistants, and automation solutions, integrating them into existing systems (ERP, CRM, document management), and taking prototypes through to production.
Stack
Responsibilities
- ▹Digitalize and automate business processes through the use of modern AI technologies
- ▹Design and implement intelligent solutions, e.g. chatbots, assistants, and automation solutions
- ▹Integrate AI applications into existing systems and processes (e.g. ERP, CRM, or document management systems)
- ▹Identify automation and optimization potential in cooperation with business departments
- ▹Develop prototypes and turn them into productive applications
- ▹Evaluate new AI technologies and derive practical recommendations
- ▹Support departments in the introduction of new AI solutions
Requirements
- ▹Completed degree in computer science, business informatics, data science, or a comparable qualification
- ▹Enthusiasm for applying current AI technologies in industrial business processes
- ▹Independent, structured, and results-oriented way of working
- ▹Strong teamwork ability and the capability to connect technical and business requirements
- ▹Enjoyment in implementing innovative AI solutions from idea to productive use
Nice to have
- ▹Initial experience with APIs and integrating software solutions
Soft skills
Independent and structured way of workingResults orientationStrong teamwork abilityAbility to connect technical and business requirements
About the company
POS TUNING is a globally active specialist for the point of sale, focused on digitalizing and automating stationary retail. As a family-owned company, it stands for quality, professionalism, and partnership-based collaboration, and positions itself as an innovation leader in its industry.
Education: Informatika, gazdaságinformatika, data science vagy hasonló szakirányú diploma
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