Senior ML Engineer – Workforce Intelligence (m/f/d)
HybridMunich, Bavaria, Germany or Munich, North Dakota, United States
Job Summary
Design and maintain machine learning models and optimization algorithms focused on demand forecasting, shift planning, and staffing optimization to shape business processes like capacity planning. Ensure a reliable and scalable deployment foundation for workforce management optimization algorithms and ML models following MLOps guidelines, including establishing tools to automate the Data Science Tech Stack and enhance model deployment and data pipelines. Collaborate effectively across departments to transform operational challenges into data-driven solutions while making data science solutions production-ready, monitored, and robust.
Required Qualifications
- Experience building and operating machine learning models and optimization algorithms in production
- Strong proficiency in Python
- Proficiency in cloud infrastructure (preferably AWS)
- Strong knowledge of data modelling
- Knowledge of database systems
- Knowledge of ETL processes
- Deep expertise in monitoring and logging tools
- Ability to detect and resolve issues proactively in ML models and supporting infrastructure
- Strong communication skills in English
- Experience making data science solutions production-ready
- Experience ensuring reliable and scalable deployment foundations
- Experience following MLOps guidelines
- Experience designing, developing, and maintaining machine learning models
- Experience designing, developing, and maintaining optimization algorithms
- Experience focusing on demand forecasting
- Experience focusing on shift planning
- Experience focusing on staffing optimization
- Ability to collaborate effectively across departments
- Ability to partner closely with Workforce Management teams
- Ability to transform operational challenges into data-driven solutions
- Experience establishing and extending tools to automate the Data Science Tech Stack
- Experience continuously enhancing MLOps processes
- Experience with model deployment
- Experience with data pipelines
Desired Qualifications
- Familiarity with workforce management concepts like forecasting, capacity planning or scheduling
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