Lead Machine Learning Engineer

Bondora

Remote
Not specified; benefits: 5 weeks of vacation, priv...
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Strong python engineering background
Experience with mlflow and databricks
Designing ml infrastructure with ci/cd
** Bondora is seeking a Lead Machine Learning Engineer to enhance their data science delivery by building robust ML infrastructure and improving scalability. The role requires a strong technical background in machine learning engineering and Python, alongside leadership capabilities to mentor and guide engineers. **

Job Summary

  • You will build the robust infrastructure that powers automated model pipelines and ensures deployment reliability.
  • This strategic role involves guiding the evolution of the ML engineering stack while mentoring engineers and shaping a culture of technical excellence.
  • Bondora offers a competitive salary, generous benefits including 5 weeks of vacation, and opportunities for personal and professional growth.

Matching Summary

Match Score: 75

** Bondora is seeking a Lead Machine Learning Engineer to enhance their data science delivery by building robust ML infrastructure and improving scalability. The role requires a strong technical background in machine learning engineering and Python, alongside leadership capabilities to mentor and guide engineers. **

Salary

Not specified; Benefits: 5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options

Skills & Requirements

Must-have

  • Strong Python engineering background
  • Experience with MLflow and Databricks
  • Designing ML infrastructure with CI/CD
  • Containerization with Docker or Kubernetes
  • Orchestration with Airflow or Prefect
  • Monitoring frameworks like Prometheus or Grafana
  • Cloud infrastructure on AWS, GCP, or Azure

Nice-to-have

  • Mentoring engineers through code reviews
  • Leading cross-functional initiatives
  • Balancing innovation and stability
  • Shaping a culture of technical excellence
  • Communicating architectural decisions to stakeholders

Key Requirements

  • Proven experience designing ML infrastructure
  • Deep understanding of monitoring and observability frameworks
  • Expertise in model governance and versioning
  • Solid knowledge of cloud security best practices
  • Experience leading cross functional initiatives

Work Rights

Not specified

Tailored Resume

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