Remote AI Engineer: Federal Security ML Leader

Lever, Inc.

United States

Remote

USD 121,000 - 169,000

Full time

3 days ago
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Benefits offered by this job

Eleven Federal Holidays
Paid Time Off
Parental Leave
Medical plans with employer contrib.
Dental and Vision Insurance
Disability and Life Insurance
401k with matching

Job summary

PingWind, Inc. seeks an Artificial Intelligence Engineer to apply AI, ML, and data science methods to develop secure, enterprise-grade AI/ML solutions for a large Federal Government client. You will help responsibly integrate AI capabilities into security engineering and mission workflows.

You will design and deploy models, collaborate with cross-disciplinary teams, and ensure robust governance, security, and performance in production environments.

Qualifications

  • 10+ years of experience in IT security, data science or software engineering.
  • At least 5 years designing, developing or deploying AI/ML in enterprise or government environments.
  • PhD may substitute for up to 5 years of the required experience.

Responsibilities

  • Design, develop, train, test, and deploy AI/ML models and solutions.
  • Collect, clean, analyze, and prepare datasets for AI/ML modeling.
  • Identify AI-enabled automation opportunities to reduce manual effort and review cycles.
  • Evaluate AI/ML solutions for performance, security, reliability, and enterprise suitability.
  • Collaborate with data scientists, developers, cybersecurity engineers, architects, and domain experts.
  • Document models, testing results, risks, controls, and technical recommendations.

Skills

AI/ML modeling
Data analysis
Security engineering

Education

Master’s degree in Artificial Intelligence
Master’s degree in Computer Science
MBA or related management degree

Job description

PingWind, Inc. seeks an Artificial Intelligence Engineer to apply AI, ML, and data science methods to develop secure, enterprise-grade AI/ML solutions for a large Federal Government client. You will help responsibly integrate AI capabilities into security engineering and mission workflows.

You will design and deploy models, collaborate with cross-disciplinary teams, and ensure robust governance, security, and performance in production environments.

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