Educational Requirements

Bachelor of Engineering

Service Line

Topaz COE unit

Responsibilities

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 RGBLiDARIMU fusion

Additional Responsibilities

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
Bachelors degree in Computer Science, Data Science, or a related technical field
13 years of experience or strong internship/projects in computer vision or ML model development

Technical and Professional Requirements

Good Python skills and working knowledge of PyTorch or TensorFlow
Familiarity with image processing libraries (e.g., OpenCV, PIL) and dataset tools (e.g., 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)

Preferred Skills

Computer Vision Professional

Job Description