27.11.2025 aktualisiert
GC
100 % verfügbar
Senior Software Engineer - High-Performance Computing & Machine Learning
Remscheid, Deutschland
Weltweit
Doctor of Philosophy in Physics (Computational Focus)Skills
3D ModellierungAPIsAutomatisierter HandelArchitekturAutomatisierungC++ETLDatenqualitätFinite-Elemente-MethodenPythonMachine LearningMathematische SoftwareMonte-Carlo-SimulationRegressionsanalyseParallel ComputingPerformance-TuningPredictive AnalyticsTensorflowRisikoanalyseSignalverarbeitungSimulationenSQLStatistikenMetrikenDatenaufnahmeRisikoeinschätzungConvolutional Neural NetworksKerasPandasDaten-Pipeline
High-Performance Computing Architecture
Advanced expertise in architecting and maintaining large-scale finite element modeling software in C++ and Python for critical simulation tasks with parallel computing optimization
Machine Learning Integration
Deep knowledge in designing and deploying machine learning solutions using TensorFlow, Keras, and Convolutional Neural Networks for automated image classification with 95% accuracy
Algorithmic Trading Systems
Specialized experience in developing high-frequency algorithmic trading and predictive analytic engines in C++ and Python with performance optimization using Cython
Data Pipeline Engineering
Comprehensive skills in designing automated data ingestion and signal processing pipelines in Python, improving data quality and signal-to-noise ratios
Parallel Computing Optimization
Expert knowledge in engineering parallelized applications using MPI and C++ for High-Performance Computing clusters with significant performance improvements
ETL Framework Development
Advanced capabilities in designing and optimizing scalable ETL pipelines using SQL and Pandas for real-time decision-making support
Statistical Analysis Implementation
Strong foundation in Monte Carlo simulations and high-dimensional regression analysis for complex mathematical software components
Risk Assessment Frameworks
Proven experience in building comprehensive risk assessment frameworks and APIs with measurable improvements in risk-adjusted metrics
Advanced expertise in architecting and maintaining large-scale finite element modeling software in C++ and Python for critical simulation tasks with parallel computing optimization
Machine Learning Integration
Deep knowledge in designing and deploying machine learning solutions using TensorFlow, Keras, and Convolutional Neural Networks for automated image classification with 95% accuracy
Algorithmic Trading Systems
Specialized experience in developing high-frequency algorithmic trading and predictive analytic engines in C++ and Python with performance optimization using Cython
Data Pipeline Engineering
Comprehensive skills in designing automated data ingestion and signal processing pipelines in Python, improving data quality and signal-to-noise ratios
Parallel Computing Optimization
Expert knowledge in engineering parallelized applications using MPI and C++ for High-Performance Computing clusters with significant performance improvements
ETL Framework Development
Advanced capabilities in designing and optimizing scalable ETL pipelines using SQL and Pandas for real-time decision-making support
Statistical Analysis Implementation
Strong foundation in Monte Carlo simulations and high-dimensional regression analysis for complex mathematical software components
Risk Assessment Frameworks
Proven experience in building comprehensive risk assessment frameworks and APIs with measurable improvements in risk-adjusted metrics
Sprachen
DeutschMutterspracheEnglischMuttersprache
Projekthistorie
Architected and maintained large-scale finite element modeling software in C++ and Python, engineered parallelized applications using MPI, designed automated data pipelines, and refactored legacy simulation code
Developed high-frequency algorithmic trading and predictive analytic engines in C++ and Python, designed scalable ETL pipelines, implemented Monte Carlo simulations, and built comprehensive risk assessment frameworks
Designed and deployed machine learning solutions using Python, TensorFlow, and Keras, developed interactive data visualization tools, performed statistical analysis on large datasets, and mentored junior developers