Senior Machine Learning Engineer (Fintech)

TL;DR

Senior Machine Learning Engineer (Fintech): Design, build, and deploy robust machine learning models that power critical business decisions with an accent on model reliability, scalability, and continuous performance improvement. Focus on integrating new techniques to keep solutions at the cutting edge and collaborating with data scientists, software engineers, and product teams to transform innovative ideas into production-grade solutions.

Location: Hybrid working with an office in the heart of Berlin

Company

hirify.global is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance.

What you will do

• 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

• Extensive experience developing, deploying, and maintaining machine learning models in production environments.
• Proficient in Python and experienced with ML frameworks such as TensorFlow, PyTorch, or similar.
• 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.
• Well-versed in AWS cloud and have hands-on experience with containerization and orchestration tools (i.e., Docker, Kubernetes).
• Solid understanding of core ML concepts, including model evaluation, monitoring, and optimization.

Nice to have

• Experience with MLOps best-practices and infrastructure-as-code (such as Terraform).
• Experience with AWS Sagemaker.
• Experience deploying and running models in low-latency production environments.

Culture & 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 with the freedom and trust to build, test, and take lead.
• Visa and relocation support for you and your family where required.
• Hybrid working with an office in the heart of Berlin.
• 27 days of annual paid vacation.