AI Engineer (f/m/d)
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 14, 2026. Plansee Group scores B on the Alion truth index.
What makes us strong? Our employees in 50 countries worldwide - all working with passion to enable high-tech applications with our strong metals: tungsten and molybdenum.
Our Plansee offices around the world connect customers with high quality tailored solutions, technical support, and industry expertise-ensuring close partnerships and reliable service wherever our customers are located.
Join a team that is highly motivated and brings together local expertise with the global knowledge and values of the Plansee Group.
In this role of AI Engineer you will reinforce our Data Science & AI team and take ownership of designing, deploying, and maintaining AI solutions in production.
The AI Engineer will work closely with data scientists, IT, and business stakeholders to turn models into reliable, production-ready services.
Your tasks :
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.
Your profile :
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, with the willingness to promote AI adoption and support knowledge sharing across teams.
Our offer :
Responsible work, a dynamic team and an excellent working atmosphere
A secure job in an internationally active company
Intensive initial training and ongoing development fostering internal mobility
Company complementary health insurance, flexible working hours and company restaurant
Free shuttlebus from the closest train-station and company buses from some Belgian and French borders