03/22/2025 updated
100 % available
Computer Vision Engineer with Deep Learning Expertise
Hyderabad, Denmark
Worldwide
Bachelor of Engineering - EEETraining DataArtificial IntelligenceComputer VisionBatch ProcessingCloud ComputingComputer ProgrammingPython (Programming Language)Machine LearningObject DetectionTensorFlowSemanticsSystems IntegrationGoogle CloudPyTorchTransfer Learning
Computer Vision and Deep Learning
Expertise in designing, developing, and deploying state-of-the-art computer vision solutions using advanced deep learning techniques including CNNs, RNNs, and transfer learning.
Programming and Frameworks
Proficiency in Python and various deep learning frameworks such as TensorFlow, PyTorch, Keras, Fastai, and Caffe for implementing complex AI models.
Cloud and Inference Technologies
Experience with cloud platforms like Google Cloud Vision and inference technologies such as NVIDIA DeepStream and Triton Inference Server for scalable AI deployments.
Machine Learning Techniques
Proficiency in various ML techniques including object detection (2D & 3D), semantic segmentation, image classification, and working with CNNs and RNNs.
Deployment and Integration
Skills in using Docker, Kubernetes, and REST APIs for deploying and integrating AI solutions in production environments.
Model Optimization and Acceleration
Expertise in optimizing AI models using techniques like NVIDIA Virtual GPU, batch processing, and multi-model serving for improved performance.
Data Annotation Tools
Familiarity with various data annotation tools such as CVAT, Label Studio, Super Annotate, V7 Darwin, Label Img, Labelbox, and Labeller for preparing high-quality training data.
Expertise in designing, developing, and deploying state-of-the-art computer vision solutions using advanced deep learning techniques including CNNs, RNNs, and transfer learning.
Programming and Frameworks
Proficiency in Python and various deep learning frameworks such as TensorFlow, PyTorch, Keras, Fastai, and Caffe for implementing complex AI models.
Cloud and Inference Technologies
Experience with cloud platforms like Google Cloud Vision and inference technologies such as NVIDIA DeepStream and Triton Inference Server for scalable AI deployments.
Machine Learning Techniques
Proficiency in various ML techniques including object detection (2D & 3D), semantic segmentation, image classification, and working with CNNs and RNNs.
Deployment and Integration
Skills in using Docker, Kubernetes, and REST APIs for deploying and integrating AI solutions in production environments.
Model Optimization and Acceleration
Expertise in optimizing AI models using techniques like NVIDIA Virtual GPU, batch processing, and multi-model serving for improved performance.
Data Annotation Tools
Familiarity with various data annotation tools such as CVAT, Label Studio, Super Annotate, V7 Darwin, Label Img, Labelbox, and Labeller for preparing high-quality training data.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Led development of high-performance computer vision systems for autonomous vehicles and robotics applications, utilizing frameworks like TensorFlow and PyTorch. Deployed real-time vision systems and worked with cloud technologies for scalable inference operations.
Designed and deployed advanced 2D and 3D object detection systems for autonomous vehicles. Developed deep learning models for image classification and object detection. Implemented scalable computer vision solutions using Triton Inference Server and optimized models for edge devices.
Ensured database security and integrity, optimized performance, and handled backup/recovery processes. Managed software deployment pipeline and performed quality assessments for Australian projects.
Certificates
Google Project Management Professional Certificate
Google2025