• Design and implementation of AI agents and AI workflows in a modern environment.
• Development of custom machine learning environments — from prototyping to production-ready solutions.
• Use of modern cloud services for scalable ML systems.
• Implementation of MLOps practices for efficient operation and continuous improvement of ML models in production as part of a team.

Requirements

Solid IT education (technical college, university or university of applied sciences) or several years of professional experience focused on AI, Data Science, or Machine Learning.
Experience in software development with Python.
Good understanding of AI systems and Machine Learning.
Analytical, process-oriented working style with a strong quality focus.
Ability to remain calm in stressful situations.
Commitment to continuous learning.
Very good German language skills.

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

AI agents
AI workflows
machine learning
MLOps
Python
cloud services
scalable ML systems
production-ready solutions
custom machine learning environments
prototyping

Soft Skills

analytical
process-oriented
quality focus
calm under stress
commitment to continuous learning
interpersonal skills

Certifications & Qualifications

technical college degree
university degree
university of applied sciences degree

Senior AI/ML Ops Engineer

AI Engineer