1Kosmos

AI / Machine Learning Engineer

1Kosmos

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

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 SDKs.
  • Monitor, evaluate, and continuously improve model accuracy and performance.
  • Collaborate with product and engineering teams to align AI capabilities with business goals.
  • Own the full ML lifecycle from dataset creation and model training to deployment and performance optimization.

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