AI Engineer

Plansee
Gemeinde Reutte, Austria
7 days ago
Apply on www.xing.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Computer Programming Continuous Integration Python (Programming Language) Machine Learning Systems Integration Web Services Enterprise Software Applications Cloud Platform System Containerization
+5 more
AI Platforms Production Code Machine Learning Operations Restful APIs Docker

Job description

In this role you will reinforce our Data Science & AI team and take ownership of designing, deploying, and maintaining AI solutions in production. You will work closely with data scientists, IT, and business stakeholders to turn models into reliable, production-ready services., * Design, implement, deploy, and maintain end-to-end AI solutions, from model integration to production-ready services

  • Build and expose AI capabilities through REST APIs or web services, and integrate them into enterprise systems and business workflows
  • Ensure the reliability, scalability, maintainability, and monitoring of AI services in production environments
  • Set up and manage MLOps pipelines, cloud environments, infrastructure, networking, and security aspects required for AI solution deployment
  • Collaborate closely with IT, data teams, internal customers, and business stakeholders to understand needs, ensure successful adoption, and support technical documentation and knowledge sharing

Requirements

  • Strong programming skills in Python, with the ability to design clean, maintainable, and production-ready code
  • Experience deploying machine learning models in production environments, including model integration, reliability, and monitoring
  • Proficiency in building REST APIs or web services and integrating AI capabilities into enterprise applications and workflows
  • Familiarity with MLOps, CI/CD practices, cloud platforms (preferred Microsoft Azure), and containerization tools such as Docker
  • Strong communication and collaboration skills, in both german and english language, with the willingness to promote AI adoption and support knowledge sharing across teams

Benefits & conditions

  • A secure job in a modern, internationally active family business that stands out for its innovation and sustainability
  • A respectful atmosphere and a relaxed environment - we are on first-name basis with almost everyone
  • Onboarding is supported by a wide range of training and further education opportunities
  • An attractive remuneration model, flexible working hours, and the option of working remotely part of the time are a matter of course for us
  • We are already thinking about tomorrow today: with a good company pension scheme and many other health and social benefits

Bei einer Beschäftigung in Österreich sind wir gesetzlich verpflichtet ein Mindestentgelt anzugeben.

Dies entspricht gem. Kollektivvertrag IT (ST1) € 55.356,-/ brutto p.a. auf Vollzeitbasis und bei 14 Bezügen. Das tatsächliche Angebot berücksichtigt Marktpreise, Qualifikation und Berufserfahrung. Vera Eberheißinger | Recruiting Team | vera.eberheissinger@plansee-group.comPlansee Group Functions Austria GmbH

About the company

Plansee Group

Metal and metalworking

1,001-5,000 employees

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.xing.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:59 min

The danger of adopting default REST APIs

Stefan Priebsch · World Congress 2021

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all

Related articles

See all