AI/ML Engineer - Passwordless Identity & Vision Tech

1Kosmos

Woodbridge Township (NJ)

Hybrid

USD 100,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Annual stipends for certifications
Attendance at key conferences
Cutting-edge tech stack

Job summary

1Kosmos, based in Woodbridge Township, NJ, is seeking an AI / Machine Learning Engineer to design and deploy advanced solutions in computer vision and AI. The role involves responsibilities ranging from model training to deployment, with a focus on fraud detection and image processing. Candidates should possess a degree in Computer Science or related fields and 3+ years of production ML model experience. This hybrid position offers flexibility, innovative projects, and opportunities for professional growth.

Qualifications

  • 3+ years of experience building and deploying ML models in production.
  • Experience with computer vision libraries and OCR technologies.
  • Familiarity with cloud platforms and API development.

Responsibilities

  • Design and implement AI models for image classification and object detection.
  • Develop real-time image quality assessment algorithms.
  • Create and maintain data pipelines for datasets.
  • Integrate ML models into production-grade APIs and mobile SDKs.
  • Monitor and continuously improve model accuracy and performance.

Skills

Python
Machine Learning frameworks
Computer vision libraries
Deep learning architectures
Problem-solving skills

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field

Tools

PyTorch
TensorFlow
OpenCV
AWS
GCP
Azure

Job description

1Kosmos, based in Woodbridge Township, NJ, is seeking an AI / Machine Learning Engineer to design and deploy advanced solutions in computer vision and AI. The role involves responsibilities ranging from model training to deployment, with a focus on fraud detection and image processing. Candidates should possess a degree in Computer Science or related fields and 3+ years of production ML model experience. This hybrid position offers flexibility, innovative projects, and opportunities for professional growth.
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