Max Schäfer. Building something worthwhile.

MLOps Engineer & Cloud Architect

I build robust and scalable machine learning infrastructure for organizations looking to operationalize their AI initiatives.

01. About Me

Building the Bridge Between ML and Production

I´m a Germany-based software engineer who specializes in Machine Learning and Deep Learning with deeper interest in computer vision.

I love to explore all the different paths in life and to challenge myself to learn with things i never did before. What´s your next challenge?

Education

Trained IT Specialist for System Integration (IHK, Germany)
Continuous upskilling in AI, MLOps, and automation technologies

Experience

8+ years in IT & Software Engineering
5+ years in MLOps & AI solution delivery

Certifications

Microsoft Certified: Azure Data Scientist Associate
Databricks Certified Data Engineer Associate
Snowflake Core
SAS Certified Specialist: ML & Data Engineering

Location

Based in Germany
Available for projects worldwide (English & German fluently)

02. Services

Specialized MLOps Services

I offer end-to-end MLOps solutions to help teams deploy and scale machine learning in production environments

ML Pipeline Design

Building automated, scalable pipelines for data preprocessing, model training, and evaluation with proper testing and validation steps.

CI/CD for ML

Implementing continuous integration and deployment workflows specifically designed for machine learning code, data, and models.

Data Version Control

Setting up systems to track, version, and manage datasets and feature stores for reproducible machine learning experiments.

Model Serving & Security

Deploying models with scalable REST APIs, batch processing capabilities, and implementing security best practices for ML systems.

Model Monitoring

Implementing systems to monitor model performance, data drift, and operational health with automated alerts and dashboards.

MLOps Training & Strategy

Providing team training, creating organizational MLOps roadmaps, and establishing best practices tailored to your specific needs.

03. Technologies

Specialized MLOps Services

MLOps Pipelines

I build automated machine learning workflows with CI/CD, Kubernetes, and monitoring – for faster and reliable results.

Model Deployment

I bring your models into production at scale – using TensorFlow, cloud solutions, or containerization.

Monitoring & Optimization

I ensure your models stay performant with tools like MLflow and Airflow, including drift detection.

04. Projects

Features Case Studies

05. Contact

Let's Work Together

Although I'm not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!