10.12.2024 aktualisiert
AB
100 % verfügbar
Performance Engineer specializing in AI and Machine Learning
Stuttgart, Deutschland
Weltweit
Doctor of PhilosophySkills
C (Programmiersprache)JavaKünstliche IntelligenzData AnalysisMedizinische BildgebungMedizinische InformatikC++ComputerprogrammierungDatenbankenDatenmanagementDistributed ComputingPerformance ManagementInteroperabilitätPythonMachine Learning
Machine Learning and AI
Extensive experience in machine learning, large-scale data processing, and optimizing AI workflows.
High-Performance Computing
Expertise in performance analysis and optimization for large-scale scientific applications running on high-performance computing systems.
Programming and Software Development
Proficiency in multiple programming languages including Python, C, C++, Java, and experience with various machine learning and data analysis tools.
Data Analysis and Visualization
Proficiency in statistical techniques for model validation, performance assessment, and dataset evaluation using tools like PyTorch, Tensorflow, and Pandas.
Database and Web Technologies
Knowledge of SQL and NoSQL based database systems, and tools for structured data management and interoperability.
Distributed Systems
Experience with HPC workflows, data pipelines in distributed systems, and parallel programming using MPI and OpenMP.
Medical Informatics
Experience in developing intelligent methods for computer-aided diagnosis systems and medical image processing.
Extensive experience in machine learning, large-scale data processing, and optimizing AI workflows.
High-Performance Computing
Expertise in performance analysis and optimization for large-scale scientific applications running on high-performance computing systems.
Programming and Software Development
Proficiency in multiple programming languages including Python, C, C++, Java, and experience with various machine learning and data analysis tools.
Data Analysis and Visualization
Proficiency in statistical techniques for model validation, performance assessment, and dataset evaluation using tools like PyTorch, Tensorflow, and Pandas.
Database and Web Technologies
Knowledge of SQL and NoSQL based database systems, and tools for structured data management and interoperability.
Distributed Systems
Experience with HPC workflows, data pipelines in distributed systems, and parallel programming using MPI and OpenMP.
Medical Informatics
Experience in developing intelligent methods for computer-aided diagnosis systems and medical image processing.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherTürkischMuttersprache
Projekthistorie
Work on performance analysis and optimization for large-scale scientific applications running on high-performance computing systems. Collaborate with project partners and application owners to optimize their application codes and workflows.
Contributed to the European Union funded project 'EXPERTISE', focusing on I/O optimization in high performance computing. Developed a framework for training and evaluating machine learning models to build predictive performance models.
Worked on computer-aided diagnosis systems, developing intelligent methods to assist clinicians in making accurate decisions through machine learning and high-resolution medical image processing.