AI & Computer Vision Engineer

Design and develop computer vision models for object detection, tracking, face recognition, and behavior analysis.
Work with tools like OpenCV, PyTorch, TensorFlow, YOLOv8, and MediaPipe.
Train and fine-tune deep learning models using both custom and public datasets.
Integrate AI models into backend and edge systems using FastAPI, Flask, Docker, etc.
Optimize models for real-time inference using TensorRT, ONNX, or OpenVINO.
Collaborate with cross-functional teams (backend, frontend, product).
aintain documentation, experiment tracking, and code versioning (Git, MLflow).
Stay current with the latest trends and publications in CV/AI.

4–5 years of experience in computer vision and AI development.
Strong proficiency in Python and good working knowledge of C++.
Experience with OpenCV, PyTorch/TensorFlow, and classical/digital image processing.
Familiarity with DL-based CV models like YOLO, MMDetection, Detectron2, etc.
Experience with optimization tools such as ONNX, TensorRT, OpenVINO.
Experience deploying models on cloud or edge (Jetson, Raspberry Pi, Coral TPU).
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience with face detection and recognition (e.g., dlib, InsightFace, RetinaFace).
Background in OCR (Tesseract, EasyOCR, PaddleOCR).
Understanding of multi-camera systems or video analytics.
Familiarity with annotation tools like CVAT, Label Studio.
Knowledge of MLOps tools (Weights & Biases, MLflow, DVC).

Competitive salary + performance bonuses
Cutting-edge AI projects with real-world impact
Supportive team with a focus on learning and growth
Flexible work hours / Remote options
Opportunities to attend AI/CV conferences and workshops