Senior ML Backend Engineer (Remote)

Denmark
Posted 6 days ago
Software Development

About the role

Job summary

This role focuses on developing and enhancing machine learning infrastructure for advanced property intelligence solutions. The position involves collaborating with machine learning engineers and researchers to transition models from experimentation to production, utilizing cloud-native technologies and responsible AI practices.

Qualifications

  • Senior-level backend software engineering experience with a strong understanding of machine learning.
  • Proven experience in designing and maintaining machine learning infrastructure and platforms for large-scale workloads.
  • Proficiency in Python and modern ML engineering tools, including deep learning frameworks and containerization.
  • Hands-on experience with MLOps practices such as CI/CD and model monitoring.
  • Familiarity with cloud-native technologies and distributed computing environments.
  • Strong analytical and problem-solving skills, with the ability to communicate complex concepts effectively.
  • PhD in a relevant field preferred; Master's or Bachelor's with significant experience also considered.

Responsibilities

  • Build and maintain scalable machine learning infrastructure for model development and deployment.
  • Design reliable ML pipelines and engineering tooling for large-scale workloads.
  • Collaborate with teams to transition models from prototypes to production-ready systems.
  • Develop automation and monitoring capabilities across ML environments.
  • Evaluate and integrate new data sources and technologies to enhance model performance.
  • Ensure compliance with security, governance, and responsible AI standards.

Skills

  • Strong proficiency in Python and ML engineering tools.
  • Experience with MLOps practices and cloud-native technologies.
  • Understanding of AI concepts and practical experience with AI tools.

Education

  • PhD in a science, technology, engineering, or mathematics discipline preferred; relevant Master's or Bachelor's degrees considered.

Tools

  • Cloud-native infrastructure, distributed computing, ML platforms, and AI-enabled engineering tools.
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