CareerPlanSign in

Machine Learning Engineer (m/f/x)

Berlin💼 Full-time🗓 2026-09-04 → 2026-09-25

Core

Own production ML models from handoff to deployment, ensuring reliability, monitoring, and serving infrastructure for a B2B used car trading platform.

Role type

Senior Machine Learning Engineer (Production & MLOps)

Builds

Production ML models, shared inference pipelines, and governed CI/CD lanes on AWS

Domain

B2B automotive trading, AI infrastructure

Deliverable

production ML models

Required skills

Production ML engineering, Python (typed, tested), ML platform expertise (SageMaker/Vertex AI/Databricks/Azure ML), feature stores, CI/CD for ML, AWS, Terraform

Preferred skills

Snowflake, dbt, mentoring

Technologies

Python, SageMaker, Vertex AI, Databricks, Azure ML, Snowflake, dbt, Terraform, AWS

Responsibilities

Own models from handoff through production deployment and monitoring; maintain production reliability via drift detection and incident response; manage serving and inference paths; review model design and evaluation methodology; extend shared platform capabilities; set engineering standards for scaling

Seniority

Senior, hands-on IC

Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.