ML ENGINEER AI PRICING (m/f/d)
ML ENGINEER AI PRICING (m/f/d)
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Job Description
The impact You will create:
Develop complex data products that are integrated into our business processes and generate added business value
Assess and process relevant data sources. Evaluate implement and optimize suitable algorithms
Utilize and build on of state-of-the-art data science techniques e.g. classic machine learning or deep neural networks
Integrate models into productive software and industrialize them (MLOps DevOps)
Work in interdisciplinary agile project teams
Present results to stakeholders
Experience and skills You will need:
Completed university degree in data science mathematics statistics computer science physics or a related field
Ideally several years of professional experience as a machine learning engineer or data scientist
Practical experience with forecasting and pricing use cases and common models (gradient boosting machine neural networks (S)ARIMA Prophet)
Very good knowledge in the application of machine learning optimization and data mining methods (e.g. with Python Spark)
Ideally experience with distributed machine learning frameworks and model lifecycle management (e.g. MLFlow)
Practical knowledge of development with Python and knowledge of the software development cycle (e.g. CI/CD DevOps testing)
Knowledge of big data (SQL Spark/Databricks) and cloud technologies (Azure GCP)
Experience with agile software development methods
Ability to understand complex issues and scenarios analyze them in detail and present the findings to a non-technical audience in an understandable way
Very good knowledge of English (at least C1 level)
Employment Type
Full Time
