Senior Machine Learning Engineer at Payrails GmbH
May no longer be active — verify on the employer site
At a glance
- Company
- Payrails GmbH
- Location
- Berlin, Germany
- Work arrangement
- Remote
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Payrails GmbH job
- 🏢 Payrails GmbH has 2 jobs here, 2 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Payrails GmbH if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design, build, test, and deploy production-grade ML models supporting business decisions.
- Develop scalable data and model pipelines for training, batch scoring, and real-time inference.
- Implement MLOps best practices: CI/CD for models, monitoring, retraining and model governance.
- Collaborate with data scientists, engineers, and product owners to turn experiments into reliable services.
- Optimize model performance, latency, and cost on cloud platforms.
- Keep up with ML research and introduce improvements when they add clear value.
Requirements:
- 5+ years building and deploying ML systems in production environments.
- Strong Python skills and experience with TensorFlow or PyTorch.
- Experience with data and orchestration tools (Spark, Airflow, Kubeflow/Flyte) and cloud infra (AWS, Sagemaker, Terraform).
- Containerization and orchestration experience (Docker, Kubernetes).
- Solid software engineering practices: testing, versioning, observability, and reproducible pipelines.
- Good communication and experience working cross-functionally to deliver product features.
Responsibilities
Design, build, and deploy robust machine learning models to drive critical business decisions and product innovation. Collaborate with cross-functional teams to maintain scalable pipelines and ensure high-performance, production-grade solutions.
Requirements
Requires extensive experience in developing and deploying machine learning models within production environments. Proficiency in Python, ML frameworks, and cloud infrastructure tools like AWS, Docker, and Kubernetes is essential.
Key skills
- Python — in 1200 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- Pandas — in 35 other listings on The Stack
- NumPy — in 26 other listings on The Stack
- Apache Spark — in 14 other listings on The Stack
- Airflow — in 95 other listings on The Stack
- Kubeflow — in 3 other listings on The Stack
- Flyte
- AWS
- Docker
- Kubernetes
- Machine learning
- MLOps
- Terraform
- AWS Sagemaker
On The Stack (as of 2026-11-05)
Frequently asked questions about Payrails GmbH
Is this Senior Machine Learning Engineer role still open?
It was posted on 2026-04-09. Listings more than 30 days old may no longer be active, so check Payrails GmbH's site before applying.
Does Payrails GmbH offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Payrails GmbH's site.
Where is this role located?
The listing gives the location as Berlin, Germany. It is marked remote.
What skills does this role ask for?
The listing names: Python, TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, Airflow, Kubeflow, Flyte, AWS, Docker, Kubernetes, Machine learning, MLOps, Terraform, AWS Sagemaker.