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Senior Machine Learning EngineerPayrailsUnited States
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Senior Machine Learning Engineer

Payrails
  • US
    United States
  • US
    United States

About

Senior Data Engineer
At Payrails, data is at the core of everything we do. We don't just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission. Our Data Team is at the forefront of driving transformation, empowering every department to unlock the full potential of data How you will make an impact: 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. What we are looking for: Extensive experience developing, deploying, and maintaining machine learning models in production environments. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or similar. A strong background in data processing and analysis, using tools like Pandas, NumPy, Apache Spark or similar. Experience with orchestration technologies such as Airflow, Kubeflow, Flyte or similar. Hands-on experience with AWS cloud and containerization and orchestration tools (i.e., Docker, Kubernetes). A solid understanding of core ML concepts, including model evaluation, monitoring, and optimization. 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. What we offer: 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
  • United States

Languages

  • English
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