flaschenpost SE

Machine Learning Engineer

• You will work on the backend services behind our route-planning estimator and other operational estimators (e.g., process durations, driver availability) and ensure their stability and maintainability.
• You take responsibility for code quality and structure in our ML repositories (reviews, refactorings, architecture).
• You work closely with our Data Scientists and reliably bring models and feature pipelines into production.
• You develop and operate the associated data and training pipelines in Databricks.
• You build and maintain CI/CD pipelines in Azure DevOps – including automated tests and deployments.
• You ensure that our systems run reliably in the cloud environment, analyze production incidents and derive sustainable improvements for code and processes.

Machine Learning Engineer – MLOps, Software Engineering

Research Engineer

• You develop, deploy and operate a range of Python and Julia services that control flaschenpost's operational processes around the clock and in real time
• Together with the team you develop and operate applications that make data preparation, model training, optimization and simulation available in production
• You are responsible for the stability and operation of our systems on modern cloud and data platforms such as Kubernetes, Azure and Databricks, and you diagnose and remediate infrastructure issues
• You build and improve our observability: meaningful logging, Datadog dashboards and alerts, and tracing across service boundaries

Software Engineer – Operations Research Systems

Data Analyst

• You take responsibility for company-wide KPI and monitoring systems that are used daily by senior management and operational stakeholders, and you actively shape the data-driven decision culture in operational logistics.
• You stay close to the processes and work closely with various departments.
• You take end-to-end responsibility for company-wide KPI and control frameworks, from conception through technical implementation to rollout.
• As a business partner for Operational Logistics, you structure, analyze and visualize complex logistics data to provide robust decision-making foundations for the strategic and operational management of more than 30 logistics sites.
• You manage stakeholders at the senior management level while acting as an operational sparring partner for on-site locations, serving as a bridge between data and operational reality.
• You assess the impact of optimization measures, derive recommendations for action and ensure that improvements are sustainably embedded in day-to-day operations.
• You are responsible for the quality, consistency and further development of our reporting structures and ensure transparency across all relevant KPIs.
• You drive the development of new dashboards, automations and reporting logics and support teams in becoming more data-driven.

Senior Data Analyst

Supply Chain

• Further development of the SCM analytics and system landscape
• Create transparency and enable data-driven decision-making across the entire supply chain
• Identify optimization opportunities through data-driven analyses
• Automate and digitalize supply chain processes
• Develop KPI frameworks, reporting and decision-support solutions
• Integrate modern BI, forecasting and AI solutions into existing SCM systems
• Work closely with Purchasing, Sales, Logistics, Finance and IT

Machine Learning Engineer – MLOps, Software Engineering

Software Engineer – Operations Research Systems

Senior Data Analyst

Head of Supply Chain Analytics