scikit-learn jobs in Germany

In this position, you will develop machine learning models for soil nutrient analysis and lead comprehensive data science projects for agronomic decisions based on real-time data.

• Python
• PyTorch
• scikit-learn
• Google Cloud Platform
• Docker
• AWS
• MLflow
• +4

In this role, you develop AI-driven solutions, transform complex requirements into technical concepts, and oversee the entire lifecycle of scalable applications, including API development and deployment.

• PyTorch
• LangChain
• Python
• FastAPI
• MCP
• scikit-learn
• Git
• Docker
• XGBoost
• +4
• +6

In this role, you develop AI solutions to solve real business problems, design scalable AI frameworks, and operate at the intersection of AI engineering and business impact in a dynamic environment.

• FastAPI
• Git
• scikit-learn
• Python
• Docker
• XGBoost
• PyTorch
• +2
• +4

In this role, you will develop innovative machine learning models for analyzing soil and sensor data, take ownership of complex projects, and collaborate closely with an international team to improve agricultural decision-making.

• Python
• Docker
• scikit-learn
• PyTorch
• MLflow
• +2

In this role, you will develop automated solutions for ingesting various data types into the infrastructure, analyze data to test hypotheses, and support the development of predictive models.

• scikit-learn
• matplotlib
• Seaborn
• Pandas
• Python
• Streamlit
• NumPy
• Plotly
• +4
• +5

In this position, you assist in analyzing operational data for energy generation, develop prototypes using Python and SQL, and test new methods for anomaly and error detection, as well as data visualization.

• Python
• SciPy
• NumPy
• SQL
• Pandas
• Git
• Power BI
• Azure DevOps
• scikit-learn
• +4
• +5

In this role, you will develop data-driven solutions, analyze data, model machine learning algorithms, and implement them into production applications using Python and the data science stack.

• NumPy
• Pandas
• SQL
• Apache Kafka
• MQTT
• Kubernetes
• Git
• scikit-learn
• Python
• Docker
• +5
• +6

In this role, you develop advanced machine learning models to predict churn and customer lifetime value, analyze data patterns, and present decision frameworks to management to support strategic initiatives.

• SQL
• Python
• Cursor
• scikit-learn
• Pandas
• XGBoost
• +2

In this position, you develop methods for perceiving cyclists' behavior using deep learning, support measurement campaigns, and lead a motivated team in innovative research projects.

• Python
• TensorFlow
• OpenCV
• scikit-learn
• Pandas
• NumPy
• PyTorch
• +3
• +4

In this role, you will design scalable AI automation frameworks and agentic workflows, translate complex business challenges into technical solutions, and collaborate closely with software engineering teams.

• scikit-learn
• MCP
• LangChain
• Docker
• Git
• XGBoost
• FastAPI
• Python
• +4
• +5

In this role, you will develop ML models for anomaly detection in time series data from recycling facilities and implement scalable data pipelines on AWS using Python, SQL, and cloud services.

• Amazon S3
• PostgreSQL
• AWS
• Python
• Pandas
• Amazon EC2
• CloudWatch
• SQL
• Git
• NumPy
• +6
• +8

In this role, you develop machine learning models to analyze large datasets, identify trends, optimize processes, and closely collaborate with various departments.

• Python
• PyTorch
• SQL
• scikit-learn
• TensorFlow
• Pandas
• NumPy
• +3
• +4

In this role, you develop machine learning models for anomaly detection in time series and analyze complex machine data to support optimization potential and root cause analysis.

• Python
• scikit-learn
• NumPy
• PostgreSQL
• SQL
• Pandas
• AWS
• Git
• +4
• +5

In this role, you will develop AI-driven solutions for analyzing complex telecommunications data and build systems for automated decision-making. You will prototype, operationalize modern ML models, and evaluate their quality.

• Python
• AWS
• Langfuse
• LangGraph
• XGBoost
• scikit-learn
• LightGBM
• +2
• +3

In this role, you will collaborate closely with scientists and data experts to build data pipelines and analyze data using Python, driving forward innovative research projects.

• Python
• scikit-learn
• Pandas