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.
Key Responsibilities
- 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.
Requirements- 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.
Preferred Qualifications- 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.
Benefits- 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
