Remote

ML Systems Engineer

Engineeringfull timemid level$85k-$130k
AI ScreenedRemote B2BEU Talent Pool1 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

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

Required Skills

Machine Learning SystemsPythonModel Serving & InferenceMLOpsDistributed SystemsData PipelinesKubernetesPyTorch / TensorFlow