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 Qualified 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
- Technology->AI-Data science->Computer Vision
- Technology->AI-Generative AI->Generative AI - Basic
- Technology->AI-Generative AI->Generative AI for Data Analytics

📌 Computer Vision Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru