AI / Machine Learning Engineer
AI / Machine Learning Engineer
Posted yesterday
SENIORITY
Senior
About the role
- 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 SDKsMonitor, 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
