About
TargetAI specializes in video analytics solutions.
Responsibilities
•Design and develop computer vision and video analytics models for object detection, tracking, and recognition
•Work with video pipelines, including RTSP/HTTP, decoding, frame sampling, and batching
•Adapt and customize models for real-world conditions, including poor lighting, different camera angles, noise, compression, and FPS drops
•Fine-tune and retrain models for specific customer scenarios
•Optimize inference for CPU
•Reduce latency and resource consumption
•Balance accuracy and performance
•Integrate ML models into production backend services, edge devices, and on-prem installations
•Monitor model quality, including precision/recall and data drift
•Prepare and analyze datasets through annotation, validation, and data augmentation
•Build training and testing pipelines
•Analyze model errors and quality degradation
Requirements
•4+ years of experience in Computer Vision/Video Analytics
•Strong understanding of CNN, YOLO, and SSD
•Experience with PyTorch or TensorFlow, OpenCV, and ONNX
•Understanding of video formats and streams, including RTSP, H.264/H.265 codecs, FPS, bitrate, and latency
•Experience optimizing CPU-only inference
•Experience working with Linux
•Deep understanding of OpenVINO
•Knowledge of edge device logic
•C++ skills for performance-critical parts
•Experience with Kafka and gRPC/REST
•MLOps skills, including MLflow, model versioning, and monitoring
•Experience with large-scale CCTV projects
Conditions
No conditions stated in the posting.
