Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science
EUR 72K-80K (estimate) Senior-level Full Time
Tasks
- Adapt AI technology to industry needs
- Apply machine learning algorithms
- Collaborate with product owners and engineers
- Define AI engineering workflows
- Define technical requirements for AI solutions
- Deploy AI models in edge environments
- Develop and integrate AI software components
- Develop models for tabular and 3D data
- Implement and optimize algorithms
- Lead data collection and cleaning
- Lead research and development projects
- Maintain and retrain AI models
- Validate data sources
Perks/Benefits
Skills/Tech-stack
AI Algorithms | Agile methodology | Anomaly Detection | C++ | Chemistry | Clustering | Control Algorithms | Data Analysis | Data Modeling | Data Validation | Data cleaning | Databases | Edge Computing | Explainability | Graph Data | Graph Data Modeling | Hybrid Modeling | Machine Learning | Model Deployment | Model-Predictive Control | Optimization Algorithms | Predictive control | Python | Reinforcement Learning | Rotordynamics | Series analysis | Software development | Test-Driven | Test-Driven Development | Thermodynamics | Time Series | Time Series Analysis | Uncertainty Quantification
Education
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