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Lead Machine Learning Engineer - Remote

Posted 2 weeks ago
Software Development
Full Time
USA
$177,500 - $295,800/year

Overview

We are seeking a highly skilled and experienced Lead Machine Learning Engineer to join our AI/ML Engineering Services team at McKesson, a Fortune 10 company impacting healthcare.

In Short

  • Lead the design, development, and deployment of machine learning models for cybersecurity.
  • Collaborate with cybersecurity experts and engineers.
  • Integrate machine learning models into existing systems.
  • Mentor junior engineers and promote continuous learning.
  • Document machine learning models and processes.
  • Evaluate and improve model performance.
  • Present findings to senior management.
  • 8+ years of machine learning experience preferred in cybersecurity.
  • Strong programming skills in Python required.
  • Experience with machine learning frameworks necessary.

Requirements

  • Proven track record in deploying machine learning models.
  • Deep understanding of cybersecurity principles.
  • Excellent strategic thinking and problem-solving skills.
  • Strong communication and leadership abilities.
  • Preferred experience with Azure Databricks and AzureML.
  • Certifications like CISSP, CEH are a plus.

Benefits

  • Competitive compensation package including bonuses.
  • Focus on employee health and well-being.
  • Cultural environment promoting growth and impact.
  • Diverse and inclusive workplace.
MCK McKesson Corporation logo

MCK McKesson Corporation

McKesson Corporation is a Fortune 10, impact-driven company that plays a vital role in the healthcare sector, providing insights, products, and services aimed at making quality care more accessible and affordable. The company prioritizes the health, happiness, and well-being of its employees and the communities it serves, fostering a culture of growth, empowerment, and innovation. McKesson is dedicated to shaping the future of health and is committed to creating a diverse and inclusive environment for all its employees.

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