We are seeking a talented and motivated AI Engineer to join our growing team focused on developing an advanced AI-driven behavior analysis platform. You will work on cutting-edge technologies involving computer vision, machine learning, and edge AI, aimed at detecting and analyzing human behaviors in real-time across different environments such as schools, hospitals, and public spaces.
Key Responsibilities:
Design, develop, and deploy AI models for human behavior detection, classification, and analysis
Implement and optimize computer vision algorithms for video feeds (e.g., face detection, posture analysis, activity recognition)
Collaborate with frontend/backend engineers and data scientists to integrate AI models into the platform
Work on real-time inference pipelines, potentially using edge AI devices (e.g., Jetson Nano, Coral)
Annotate and preprocess video datasets for supervised and semi-supervised learning
Continuously improve model accuracy, reduce false positives/negatives, and ensure robustness in various environments
Contribute to the platform’s AI ethics and privacy-by-design principles
What We Offer:
Opportunity to shape a platform with real-world social impact
Flexible work environment with hybrid/remote options
Work with a passionate team driving innovation in AI and behavior analytics
Competitive salary and potential equity participation
Required Qualifications:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related fieldStrong experience in Python and deep learning frameworks (e.g., TensorFlow, PyTorch)Hands-on experience with OpenCV, YOLO, MediaPipe, or similar computer vision librariesSolid understanding of machine learning, CNNs, RNNs, and behavior recognition techniquesFamiliarity with deploying AI models on edge devices or within cloud environmentsAbility to work with large datasets, video streams, and annotation toolsStrong problem-solving skills and ability to work in a fast-paced startup environmentPreferred Qualifications:Experience with real-time systems or video analytics platformsKnowledge of Reinforcement Learning or Agentic AI frameworksFamiliarity with data protection, GDPR, or privacy-centric AI developmentPrior experience in education, healthcare, or security tech sectors