Bondora

Lead Machine Learning Engineer

Bondora

full-time

Posted on:

Location Type: Remote

Location: Estonia

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About the role

  • Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
  • Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
  • Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
  • Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
  • Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
  • Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
  • Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
  • Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

Requirements

  • Strong Python engineering background and experience with MLflow, Unity Catalog, Databricks, or equivalent platforms used for model lifecycle management.
  • Proven experience designing ML infrastructure, including CI/CD, containerization with Docker or Kubernetes, and orchestration with Airflow or Prefect.
  • Deep understanding of monitoring and observability frameworks such as Prometheus, Grafana, or Datadog, and a track record of improving pipeline reliability.
  • Expertise in model governance, versioning, auditability, and operationalization from research to production.
  • Solid knowledge of cloud infrastructure on AWS, GCP, or Azure, including cost effectiveness and security best practices.
  • Experience leading cross functional initiatives and mentoring engineers.
  • Ability to balance innovation and stability through structured experimentation, pilot phases, and safe adoption of new technologies.
Benefits
  • 5 weeks of vacation
  • private healthcare compensation
  • hobby grant
  • mental healthcare support
  • share options
  • environment that encourages personal and professional growth
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMLflowUnity CatalogDatabricksCI/CDDockerKubernetesAirflowPrefectmonitoring frameworks
Soft Skills
mentoringtechnical leadershipcommunicationproblem-solvingcross-functional collaboration