Computer Vision Engineer
17 hours ago
- As a Computer Vision Engineer Developer you will contribute to the development and maintenance of AI pipelines addressing key problems such as object detection item tracking recognition and counting
- Working under the guidance of senior engineers and data scientists you ll assist in implementing deep learning models preparing datasets and validating performance metrics in real world scenarios
- This is an ideal role for early career AI professionals who are passionate about CV and eager to grow through exposure to synthetic data foundational models and production grade systems
- Assist in building and testing CV models for detection tracking classification tasks and latest foundation and VLM models
- Prepare and annotate image video datasets support data ingestion and cleaning pipelines
- Contribute to writing and debugging training scripts model loaders and preprocessing functions
- Run evaluation jobs and generate performance reports using tools like TensorBoard or custom scripts
- Support error analysis by identifying model weaknesses across edge cases
- Collaborate with senior engineers on integrating models into scalable inference pipelines
- Help visualize model outputs draw bounding boxes heatmaps or segmentation masks for explainability
- Document experiments and code for reproducibility and knowledge sharing
- Used OpenCV MediaPipe and scikit image for preprocessing motion analysis and visual overlays
- Integrated DL models with post processing logic e
- g
- NMS temporal smoothing event triggering
- Ensured low latency inference by profiling and tuning frame wise preprocessing
- Supported integration of RTSP video feeds and video decoders in test pipelines
- point cloud ingestion and processing Open3D PCL calibration registration ICP FGR 3D detection segmentation with sparse CNNs PointNet and RGB LiDAR IMU fusion
- Good Python skills and working knowledge of PyTorch or TensorFlow
- Familiarity with image processing libraries e
- g
- OpenCV PIL and dataset tools e
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- COCO format YOLO datasets
- Eagerness to learn take feedback and contribute in collaborative development environments
- Exposure to object detection tracking projects academic hackathons or prior work
- Basic understanding of synthetic data or 3D asset usage in training pipelines
- Familiarity with Git Linux command line and Jupyter Notebooks
- Interest in building a career in computer vision and AI for real world automation
- Bachelor s degree in Computer Science Data Science or a related technical field
- 1 3 years of experience or strong internship projects in computer vision or ML model development
Technology->Artificial Intelligence->Computer Vision,Domain->LifeSciences->Pharma Regulations->Computer Systems Validation (CSV),Technology->Open System->Open System- ALL,Technology->AR/VR/MR->Augmented Reality SDK->OpenCV,Technology->Machine Learning->Python,Technology->Machine Learning->NLP-Speech Analytics
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