Mitchell Martin, Inc.

Mitchell Martin, Inc.

Senior AI/ML Data Engineer - Vice President

Jersey City, New Jersey, USA · Exec · Full-time

Sponsorship not specified$138k-$199kDetected 82 days ago
SQLMachine LearningCybersecurityOnboarding

About the role

  • This role is set within a dynamic Information Security department, requiring hybrid work in NYC, JC, or CLT.
  • As a full-time position, it involves designing and implementing AI-driven cloud data solutions, leveraging advanced analytics and machine learning technologies to enhance cybersecurity operations.

Responsibilities

  • Design and develop cloud data solutions focusing on data ingestion, quality, and performance.
  • Lead AI solution implementation, ensuring governance and data controls.
  • Collaborate with cross-functional teams to align development priorities.

Requirements

  • Bachelor''s degree in a relevant field.
  • 10 years of experience in IT development or related roles, preferably in regulated environments.
  • 5 years of experience with cloud-based data technologies.
  • Strong knowledge of information security data and frameworks.

Skills

  • Cloud Data Solutions | Machine Learning | Advanced Analytics | Data Management Tools | SQL | High-Level Programming Languages |
  • Message and data rates may apply for texts.
  • Carriers are not liable for delayed or undelivered messages.

Compensation

  • $138,000-$199,000 Per Year

Company info

  • Design and develop cloud data solutions focusing on data ingestion, quality, and performance. • Lead AI solution implementation, ensuring governance and data controls. • Develop data feeds as part of a larger cybersecurity data initiative. • Mentor junior team members and guide development efforts. • Collaborate with cross-functional teams to align development priorities.
  • Develop data feeds as part of a larger cybersecurity data initiative.

Equal opportunity

  • Learn more about our EEO policy here #LI-TM1

This listing is sourced directly from Mitchell Martin, Inc.'s careers page and normalized into a canonical job model.