ML Systems Engineer
Engineeringfull timeRemotemid level$85k-$130k
About This Role
We're seeking an ML Systems Engineer to design, build, and optimize machine learning infrastructure for our AI-first recruiting platform. You'll work on scaling ML pipelines, improving model serving, and architecting systems that power intelligent talent matching across Europe. This role bridges machine learning and software engineering, requiring expertise in both model deployment and production systems.
Requirements
- Build and maintain ML pipelines and model serving infrastructure in production environments
- Demonstrate proficiency in Python and software engineering best practices
- Design scalable systems for real-time model inference and batch processing
- Implement monitoring, logging, and observability for ML systems
- Collaborate with data scientists and backend engineers to optimize model deployment
- Optimize ML model performance, latency, and resource utilization
Skills
Machine Learning SystemsPythonModel Serving & InferenceMLOpsDistributed SystemsData PipelinesKubernetesPyTorch / TensorFlow
