Machine Learning Engineer

Machine Learning Engineer -- Remote / Hybrid

We are looking for a skilled Machine Learning Engineer to design, build, and deploy machine learning models that power data-driven products and intelligent systems.

This role is ideal for engineers who enjoy working across data, algorithms, and production systems, and who are comfortable taking models from experimentation to real-world impact.

Key Responsibilities:

• Develop, train, and deploy machine learning models for production use
• Work with large datasets to extract features and insights
• Collaborate with data scientists, software engineers, and product teams
• Build and maintain ML pipelines, workflows, and model monitoring
• Evaluate model performance and continuously improve accuracy and efficiency
• Document models, experiments, and technical decisions

Requirements:

• Strong background in machine learning, statistics, or applied mathematics
• Experience with Python and common ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
• Understanding of data pipelines, APIs, and model deployment
• Experience with SQL and data processing tools
• Ability to translate business problems into ML solutions
• Experience working in a remote or distributed team is a plus

What We Offer:

• Remote or hybrid working flexibility
• Opportunity to work on real-world ML applications
• Collaborative, cross-functional engineering environment
• Learning budget and long-term career development
• Competitive compensation

If you're passionate about turning data into intelligent systems and deploying models at scale, we'd love to hear from you.

Apply now to join us as a Machine Learning Engineer.

Benefits: Remote Model: Hybrid Country Code: de