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Senior Machine Learning Engineer at Payrails | JobVerse
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Senior Machine Learning Engineer
Payrails
Website
LinkedIn
Senior Machine Learning Engineer
Germany
Full Time
3 weeks ago
No Sponsorship
Apply Now
Key skills
Airflow
Apache
AWS
Cloud
Docker
Kubernetes
Numpy
Pandas
Python
PyTorch
Spark
Tensorflow
Terraform
AI
Machine Learning
ML
TensorFlow
NumPy
MLOps
Kubeflow
Apache Spark
SageMaker
Agile
About this role
Role Overview
Design, build, test, and deploy robust machine learning models that power critical business decisions.
Develop and maintain scalable pipelines to support both model training and real-time inference.
Collaborate with data scientists, software engineers, and product teams to transform innovative ideas into production-grade solutions.
Implement industry best practices to ensure model reliability, scalability, and continuous performance improvement.
Stay abreast of the latest advancements in machine learning and AI, and integrate new techniques to keep our solutions at the cutting edge.
Requirements
You have extensive experience developing, deploying, and maintaining machine learning models in production environments.
You’re proficient in Python and experienced with ML frameworks such as TensorFlow, PyTorch, or similar.
You possess a strong background in data processing and analysis, using tools like Pandas, NumPy, Apache Spark or similar.
You have experience with orchestration technologies such as Airflow, Kubeflow, Flyte or similar.
You’re well-versed in AWS cloud and have hands-on experience with containerization and orchestration tools (i.e., Docker, Kubernetes).
You have a solid understanding of core ML concepts, including model evaluation, monitoring, and optimization.
You thrive in agile, collaborative settings and communicate complex technical concepts with clarity.
Experience with MLOps best-practices and infrastructure-as-code (such as Terraform) are a plus.
Experience with AWS Sagemaker is a plus.
Experience deploying and running models in low-latency production environments is a plus.
Tech Stack
Airflow
Apache
AWS
Cloud
Docker
Kubernetes
Numpy
Pandas
Python
PyTorch
Spark
Tensorflow
Terraform
Benefits
High impact and high velocity environment with the most talented and ambitious people you will ever work with
A chance to shape the story of a company and a category from the ground up
Real ownership. You’ll have the freedom and trust to build, test, and take lead
A product used by the best brands around the world
Visa and relocation support for you and your family where required
Hybrid working with an office in the heart of Berlin
Regular team events, activities and off-sites
Discounted Urban Sports Club membership
Competitive salary and equity package
27 days of annual paid vacation
Apply Now
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