01.12.2025 aktualisiert
100 % verfügbar
Machine Learning Engineer with expertise in autonomous systems and computer vision
Berlin, Deutschland
Weltweit
Master of Science (M.Sc.) in MechatronicsSkills
Künstliche IntelligenzAlgorithmusData AnalysisComputer VisionAutomatisierungAutonome SystemeC++CUDAComputerprogrammierungContinuous IntegrationDevOpsPythonMachine LearningMongoDBNumPy
Machine Learning & Computer Vision
Expertise in developing AI/ML-driven solutions with focus on sensor fusion, computer vision, and deep learning for autonomous systems.
Programming & Frameworks
Advanced knowledge of Python, C/C++, TensorFlow, PyTorch, and OpenCV for implementing real-time machine learning algorithms.
Autonomous Systems Development
Experience in designing and optimizing algorithms for automated cruise control, smart parking, and object detection systems.
Data Science & Analytics
Proficiency with NumPy, Pandas, and Scikit-learn for data processing and model development.
GPU Acceleration
Knowledge of NVIDIA CUDA for GPU preprocessing with custom kernels to enhance object detection performance.
CI/CD & DevOps
Experience with continuous integration and deployment pipelines for streamlined software integration.
Database Management
Skills in MongoDB and SQL for data storage and retrieval in AI applications.
Expertise in developing AI/ML-driven solutions with focus on sensor fusion, computer vision, and deep learning for autonomous systems.
Programming & Frameworks
Advanced knowledge of Python, C/C++, TensorFlow, PyTorch, and OpenCV for implementing real-time machine learning algorithms.
Autonomous Systems Development
Experience in designing and optimizing algorithms for automated cruise control, smart parking, and object detection systems.
Data Science & Analytics
Proficiency with NumPy, Pandas, and Scikit-learn for data processing and model development.
GPU Acceleration
Knowledge of NVIDIA CUDA for GPU preprocessing with custom kernels to enhance object detection performance.
CI/CD & DevOps
Experience with continuous integration and deployment pipelines for streamlined software integration.
Database Management
Skills in MongoDB and SQL for data storage and retrieval in AI applications.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2025
Sprachen
DeutschverhandlungssicherEnglischMuttersprache
Projekthistorie
Developed and optimized software integration processes for efficient deployment of AI and machine learning models. Enhanced continuous integration and deployment pipelines, designed AI-driven KPIs, and developed object fusion algorithms for real-time embedded systems.
Designed ML-based lane-change algorithms and object detection models for Automated Cruise Control. Developed ROS2 RVIZ tools for real-time visualization, optimized sensor fusion algorithms reducing false positives by ~90%, and built maneuver trajectory models using real-time road data.
Developed AI-powered lane detection and adjustment system using SVM, HereMaps and Computer Vision. Implemented algorithms like edge detection and feature extraction using CNN, optimized for edge AI hardware with low-latency inference.