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Verneek

Custom AI decision-support software and services

Machine Learning Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science or a related field.
  • At least 3 years of experience with Python.
  • At least 3 years of hands-on experience developing architectures with machine learning frameworks such as PyTorch.
  • Demonstrated AI and natural language processing engineering skills through deployment of large-scale AI and natural language processing systems to production.
  • Work authorization in the United States at the time of hire; continued work authorization during employment can be sponsored.

Responsibilities

  • Implement, scale, and maintain complex AI and natural language processing models supporting the Verneek AI platform.

Desired Qualifications

  • A Master of Science degree in Computer Science or a related field.
  • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning, and learning with limited data.
  • Experience building models in the commerce or retail domain.
  • Working knowledge of Scala.

About the Company

Verneek

Custom AI decision-support software and services

Verneek develops AI-powered decision-support tools for businesses. It creates customized AI software that can be integrated into clients’ existing systems, delivered through software licenses, and supported by consulting and ongoing maintenance. The product works by applying advanced AI models to client data to generate actionable decision recommendations, insights, and automated workflows, typically accessed via APIs or interfaces embedded in the client’s workflows. Verneek differentiates itself through its deep-tech leadership and tailored, end-to-end solutions that combine software licensing with advisory services and continuous support, rather than one-size-fits-all products. Its goal is to help organizations make better and faster decisions across industries such as healthcare, finance, and technology by turning complex data into clear guidance and actions.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2020

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