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mimi

AI Engineer

Ceratizit

Bauler · flexible Full-time Today

About the role

About Us

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.

Role Overview

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, and maintain end-to-end AI solutions, including model integration and production deployment.
  • Build and expose AI capabilities via REST APIs or web services.
  • Ensure the reliability, scalability, and maintainability of AI services, with monitoring in place.
  • Set up and manage MLOps pipelines for model training, validation, deployment, and monitoring.
  • Work with cloud environments (e.g., Azure) to manage infrastructure, networking, and security.
  • Integrate AI solutions into enterprise systems and business workflows.
  • Collaborate with IT and data teams on infrastructure, network, and security topics.
  • Contribute to technical documentation and knowledge sharing within the AI team.

Your profile

  • Strong programming skills in Python.
  • Experience deploying machine learning models in production environments.
  • Proficiency in building REST APIs or web services (e.g., FastAPI or similar frameworks).
  • Familiarity with MLOps concepts and CI/CD practices.
  • Hands-on experience with cloud platforms (e.g., Azure, AWS, or GCP).
  • Knowledge of containerization tools (e.g., Docker).

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

Skills

AWSAzureCI/CDDockerFastAPIGCPMLOpsPythonREST API

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