3 days ago

Senior Machine Learning Engineer

Protolabs

Amsterdam

3 days ago

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Senior Machine Learning Engineer at Protolabs, a digital manufacturing leader, based in Amsterdam. The role focuses on building and deploying ML models for an intelligent pricing platform in a two-sided marketplace. Requires strong Python and ML skills, with experience in production ML pipelines.

AIHybridFull-timeSeniorPythonPyTorch

Senior Machine Learning Engineer

Apply

AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

PythonPyTorchTensorFlowscikit-learnMachine LearningMLOpsWeights & BiasesPrefectKarpenterAWSFeature EngineeringModel DeploymentA/B TestingBacktesting

Soft Skills

CommunicationMentoringProblem SolvingCollaboration

Preferred Qualifications

Technical (Nice-to-have)

Marketplace ModelsPricing ModelsOperations ResearchEconometricsSupply Chain Optimisation3D DataCADPoint CloudsMesh ProcessingML InfrastructureML Monitoring

Key Responsibilities

•Develop, improve, and maintain machine learning models for demand and supply dynamics in a digital manufacturing marketplace
•Build pricing-related models including cost estimation from CAD geometry, demand forecasting, and partner routing probability
•Apply tree-based methods, probabilistic models, and deep learning to solve challenges
•Design, build, and maintain training and inference pipelines on AWS
•Run offline experiments, A/B testing, and backtesting to validate model improvements
•Collaborate cross-functionally with ML engineers, data scientists, and domain experts
•Translate complex marketplace inputs into meaningful features
•Monitor model performance in production and address drift or degradation
•Stay up to date with ML advancements in pricing, marketplace modelling, and manufacturing intelligence
•Mentor mid-level and junior engineers

Senior Machine Learning EngineerAmsterdamProtolabsPricingMarketplaceMLOpsAWSPythonDeep Learning

Key Responsibilities

•Develop, improve, and maintain machine learning models for demand and supply dynamics in a digital manufacturing marketplace

•Build pricing-related models including cost estimation from CAD geometry, demand forecasting, and partner routing probability

•Apply tree-based methods, probabilistic models, and deep learning to solve challenges

•Design, build, and maintain training and inference pipelines on AWS

•Run offline experiments, A/B testing, and backtesting to validate model improvements

•Collaborate cross-functionally with ML engineers, data scientists, and domain experts

•Translate complex marketplace inputs into meaningful features

•Monitor model performance in production and address drift or degradation

•Stay up to date with ML advancements in pricing, marketplace modelling, and manufacturing intelligence

•Mentor mid-level and junior engineers