Principal Python Engineer — ML Infrastructure

Principal Python Engineer needed for a fully remote, flexible contract role to design and build data pipelines, annotation tooling, and evaluation systems for leading AI labs. Requires 5+ years of production Python experience, deep expertise in distributed systems and concurrency, and strong communication skills.

HybridContractPrincipalPythonDistributed Computing

Principal Python Engineer — ML Infrastructure

Principal Python Engineer needed for a fully remote, flexible contract role to design and build data pipelines, annotation tooling, and evaluation systems for leading AI labs. Requires 5+ years of production Python experience, deep expertise in distributed systems and concurrency, and strong communication skills.

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HybridContractPrincipalPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

5 years

Employment Type

Hourly Contract

Experience Level

Principal

Core Qualifications

Technical (Must-have)

PythonDistributed ComputingConcurrencyAsynchronous ProgrammingFull-Stack DevelopmentSystems ProgrammingPerformance OptimizationMemory Profiling

Soft Skills

CommunicationCollaborationTechnical LeadershipProblem Solving

Preferred Qualifications

Technical (Nice-to-have)

Data AnnotationData QualityModel EvaluationAI/ML WorkflowsModel Training PipelinesBenchmarking InfrastructureDistributed Systems ArchitectureInternal Developer Tooling

Key Responsibilities

•Design, build, and optimize high-performance Python systems that power AI data pipelines and evaluation workflows
•Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
•Improve reliability, performance, and safety across production Python codebases
•Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes
•Collaborate with data, research, and engineering teams to support model training and evaluation workflows
•Drive architectural and system design decisions through synchronous technical reviews

PythonML InfrastructureAI TrainingContractRemotePrincipalData PipelinesDistributed Systems