Machine Learning Engineer
W
Wolt - EnglishDelivery Technology
This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- DockerPythonKubernetesMachine LearningMLFlowMLOps
Requirements
- 2+ years of experience in ML/MLOps
- Experience deploying ML models in production at scale
- Solid experience in scaling solutions and troubleshooting ML deployments
- Experience in implementing real-time inference ML models
- Strong Python software engineering experience
- Proficiency with Docker and Kubernetes
- Experience with workflow orchestration tools (e.g. Flyte)
- Experience with model and experiment registries (e.g. MLflow)
- Experience with model serving systems (e.g. Seldon)
Responsibilities
- Build the ML infrastructure to develop, train and deploy Wolt’s ranking models
- Work end-to-end, from use case design to implementation, delivery and monitoring
- Maintain our production ML stack and raise the team’s ML engineering excellence bar
- Liaise with Wolt’s ML Platform team to adopt ML technologies
- Contribute to Wolt ML Engineering and Applied Science communities
- Be part of a cross-disciplinary team with Applied Scientists, Software Engineers and Analysts
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