# Senior Machine Learning Engineer at Payrails GmbH

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> Responsibilities: - Design, build, test, and deploy producti

- **Company:** Payrails GmbH (https://jobs.trythestack.co/companies/payrails-gmbh)
- **Location:** Berlin, Germany
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, Airflow, Kubeflow, Flyte, AWS, Docker, Kubernetes, Machine learning, MLOps, Terraform, AWS Sagemaker
- **Posted by employer:** 2026-04-09
- **Added to The Stack:** 2026-04-10
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ashbyhq.com/payrails/56a2f84e-f853-420a-a2a2-b9826a50643b (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-payrails-gmbh

## 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.

## FAQ

- **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.

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