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Closed
Amsterdam
14 Apr 2026
Senior ML Engineer (Evaluation) logo

Senior ML Engineer (Evaluation)

kaiko.ai

Closed
Amsterdam
14 Apr 2026
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Senior ML Engineer (Evaluation)

Senior ML Engineer (Evaluation) needed for kaiko.ai's clinical AI assistant team. Responsible for designing and operating large-scale evaluation pipelines for multimodal large language models in healthcare. Requires excellent Python skills, ML infrastructure experience, and strong software engineering fundamentals.

HybridFull-timeSeniorPythonWorkflow Orchestration

Senior ML Engineer (Evaluation)

Senior ML Engineer (Evaluation) needed for kaiko.ai's clinical AI assistant team. Responsible for designing and operating large-scale evaluation pipelines for multimodal large language models in healthcare. Requires excellent Python skills, ML infrastructure experience, and strong software engineering fundamentals.

Apply
HybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid with expectation of spending ∼50% of time in office

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Pythonworkflow orchestrationautomated pipelinesML infrastructurelarge language modelsmultimodal modelsdistributed compute systemsGPU workloadscluster schedulingresource management
Soft Skills
collaborationownershipambitioncuriosityproblem-solving
Tools (Must-have)
CI/CDmonorepo toolingcontainerisationconfig managementobservability

Preferred Qualifications

Technical (Nice-to-have)
DagsterRayvLLMlm-eval-harnessHF Evaluatered-teamingload testing

Key Responsibilities

  • •Design, operate, and mature automated pipelines and workflows for large-scale evaluation jobs
  • •Maintain and mature inference and eval services ensuring correctness, reproducibility, and throughput
  • •Ensure functional integrity of eval stack through rigorous testing and validation
  • •Own Eval/MLOps end-to-end: service deployments, model and artifact versioning, eval data organization, and post-deployment observability
  • •Develop towards a technical lead: set engineering direction, make architectural decisions, and support other engineers in execution
ML EngineerEvaluationClinical AIHealthcareMultimodal LLMPythonML InfrastructureSeniorAmsterdamZurich
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