AI / Machine Learning Engineer

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and fraud detection , delivering high-performance models that can run on both mobile devices and cloud environments.

This role blends R&D with production engineering-you'll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

- Design and implement AI models for image classification, object detection, OCR, and feature extraction. - Develop real-time image quality assessment and capture guidance algorithms. - Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets. - Implement model optimization techniques for mobile (on-device) and cloud inference. - Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data. - Integrate ML models into production-grade APIs and mobile SDKs. - Monitor, evaluate, and continuously improve model accuracy and performance. - Collaborate with product and engineering teams to align AI capabilities with business goals.

- Bachelor's or Master's degree in Computer Science, AI/ML, or related field (or equivalent experience).

- 3+ years of experience building and deploying ML models in production. - Proficiency in Python and ML frameworks ( PyTorch , TensorFlow , or similar). - Experience with computer vision libraries (e.g., OpenCV) and OCR technologies. - Strong understanding of deep learning architectures for image and text recognition. - Familiarity with cloud platforms (AWS, GCP, or Azure) and API development. - Strong problem-solving skills and ability to work in fast-paced environments. - Based in the NJ / NY area; Hybrid working model.

- Experience with model quantization and optimization for mobile deployment. - Knowledge of synthetic data generation and data augmentation techniques. - Background in security, liveness detection, or anomaly detection . - Exposure to compliance and data privacy regulations (GDPR, CCPA). - Contributions to open-source ML projects or published research.

- Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.

- Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC. - Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada. - Flexibility First: Unlimited PTO, and 2 days WFH