10.02.2025 aktualisiert
100 % verfügbar
AI and Machine Learning Engineer
Ilmenau, Deutschland Master's in Research in Media Engineering
Skills
Javascript3D ModellierungKünstliche IntelligenzData AnalysisSystems EngineeringComputer VisionTest AutomationBug-TrackingC++DatenbereinigungBildverarbeitungPythonMatlabMachine LearningNormalisierungNumpyObjekterkennungOpencvSoftware ArchitectureQualitätsmanagementTensorflowSignalverarbeitungSoftwareentwicklungDatenverarbeitungFeature-EngineeringPytorchGitPandasScikit-learnProgramming LanguagesData Generation
Computer Vision & AI
Expertise in object detection using YOLOX, YOLOv11, Faster R-CNN, and Mask R-CNN. Proficient in image segmentation techniques.
Programming Languages & AI Frameworks
Skilled in Python, C++, JavaScript, TensorFlow, PyTorch, and OpenCV for AI and machine learning development.
3D Modeling & Data Processing
Proficient in Blender for 3D modeling and rendering. Experience with data cleaning, normalization, feature engineering, and synthetic data generation.
Signal Processing
Expertise in multirate signal processing, digital filters, and time-frequency analysis.
Software Engineering
Knowledge of software architecture, system engineering, and AI-driven media systems.
Data Analysis Tools
Proficiency in MATLAB, Git, Scikit-learn, NumPy, and Pandas for data analysis and machine learning tasks.
Quality Assurance
Experience in designing and executing test cases, bug tracking, and maintaining automated test scripts.
Expertise in object detection using YOLOX, YOLOv11, Faster R-CNN, and Mask R-CNN. Proficient in image segmentation techniques.
Programming Languages & AI Frameworks
Skilled in Python, C++, JavaScript, TensorFlow, PyTorch, and OpenCV for AI and machine learning development.
3D Modeling & Data Processing
Proficient in Blender for 3D modeling and rendering. Experience with data cleaning, normalization, feature engineering, and synthetic data generation.
Signal Processing
Expertise in multirate signal processing, digital filters, and time-frequency analysis.
Software Engineering
Knowledge of software architecture, system engineering, and AI-driven media systems.
Data Analysis Tools
Proficiency in MATLAB, Git, Scikit-learn, NumPy, and Pandas for data analysis and machine learning tasks.
Quality Assurance
Experience in designing and executing test cases, bug tracking, and maintaining automated test scripts.
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Developed and optimized YOLOX, YOLOv11, and Faster R-CNN models for improved object detection accuracy. Created and trained synthetic datasets using 3D modeling in Blender. Automated preprocessing, annotation, and data augmentation pipelines using Python, OpenCV, and NumPy.
Designed and executed test cases based on project requirements. Identified, documented, and tracked defects using bug tracking tools. Performed manual testing including functional and regression tests. Assisted in developing and maintaining automated test scripts. Collaborated with development teams to ensure product quality and resolve issues.
Developed a color, shape, and distance detection system using a Raspberry Pi, applying skills in computer vision and sensor integration. Utilized Python and OpenCV for image processing to detect specific colors and shapes in real-time. Gained hands-on experience with Git, Python, and Linux, supporting interdisciplinary skills across mechanics, electrical engineering, and media technology.