26.03.2026 aktualisiert
100 % verfügbar
Research Scientist - Machine Learning & AI
Berlin, Deutschland
Weltweit
MSc Computer ScienceSkills
Künstliche IntelligenzApache AirflowAlgorithmusAmazon Web ServicesData AnalysisApache HTTP ServerKünstliche Neurale NetzwerkeComputer VisionMedizinische BildgebungC++Cloud ComputingProgrammoptimierungCUDAComputerprogrammierungDistributed Computing
Physics-Informed Machine Learning
Advanced expertise in developing novel neural architectures that incorporate physical constraints and geometric structure for scientific computing applications
Deep Learning & Neural Networks
Comprehensive knowledge in geometric deep learning, reinforcement learning, graph neural networks, and computer vision with proven track record in medical imaging
Large-Scale System Optimization
Proficiency in processing multi-terabyte daily data with 15M+ decision variables in production environments and collaborative research experience
Machine Learning Frameworks
Extensive experience with PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers
Cloud Computing & Infrastructure
Proficient in Kubernetes, Docker, Apache Kafka, Apache Airflow, MLflow, Kubeflow, AWS services, and distributed systems
Programming & Development
Strong programming skills in Python, Go, CUDA, C++, and SQL with experience in high-performance computing
Research Specializations
Expertise in reinforcement learning algorithms, meta-heuristic optimization, federated learning, and NLP applications
Data Processing & Analytics
Advanced skills in real-time data processing, time series forecasting, and handling large-scale datasets with Apache technologies
Advanced expertise in developing novel neural architectures that incorporate physical constraints and geometric structure for scientific computing applications
Deep Learning & Neural Networks
Comprehensive knowledge in geometric deep learning, reinforcement learning, graph neural networks, and computer vision with proven track record in medical imaging
Large-Scale System Optimization
Proficiency in processing multi-terabyte daily data with 15M+ decision variables in production environments and collaborative research experience
Machine Learning Frameworks
Extensive experience with PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers
Cloud Computing & Infrastructure
Proficient in Kubernetes, Docker, Apache Kafka, Apache Airflow, MLflow, Kubeflow, AWS services, and distributed systems
Programming & Development
Strong programming skills in Python, Go, CUDA, C++, and SQL with experience in high-performance computing
Research Specializations
Expertise in reinforcement learning algorithms, meta-heuristic optimization, federated learning, and NLP applications
Data Processing & Analytics
Advanced skills in real-time data processing, time series forecasting, and handling large-scale datasets with Apache technologies
Projekthistorie
Architected hybrid genetic algorithm-simulated annealing framework processing 15M+ SKUs across 200+ distribution centers. Developed meta-heuristic optimization engine and implemented deep RL agents for dynamic inventory management.
Architected distributed multi-agent RL system for real-time financial risk assessment. Developed GNN architectures and designed time series forecasting ensemble with multi-head attention.
Pioneered CNN architectures with custom attention mechanisms for medical imaging. Engineered high-throughput data pipeline and implemented advanced optimization techniques for medical imaging tasks.