MTA - Lead Machine Learning Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

Position Summary: 

We are seeking a highly skilled and experienced Lead Machine Learning Engineer to join our AI/ML Engineering Services team. The successful candidate will be responsible for leading the development and implementation of advanced machine learning models to detect and mitigate cybersecurity threats. This role requires deep technical expertise, strategic vision, and the ability to lead and mentor a team of engineers.

Key Responsibilities:

• Lead the design, development, and deployment of machine learning models to enhance cybersecurity measures.

• Collaborate with cybersecurity SMEs, security analysts, and engineers to identify and address complex cybersecurity challenges.

• Oversee the integration of machine learning models into existing cybersecurity systems.

• Lead and guide junior engineers, fostering a culture of continuous learning and improvement.

• Develop and maintain documentation for machine learning models and processes.

• Evaluate the performance of machine learning models and implement improvements as needed.

• Present findings and strategies to senior management and stakeholders.

Qualifications:

• 8+ years of experience in machine learning, with a preference for cybersecurity applications.

• Proven track record of designing and deploying machine learning models in a production environment.

• Strong programming skills in Python.

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Deep understanding of cybersecurity principles and threat detection techniques.

• Excellent problem-solving skills and the ability to think strategically.

• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with Azure Databricks and AzureML.

• Certifications such as CISSP, CEH, or similar.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!