Sr. Machine Learning Engineer

at  McKesson

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.
We are looking for a talented and motivated Senior Machine Learning Engineer to join our AI/ML Engineering Services team. The ideal candidate will have a strong background in machine learning and a passion for applying these skills to enhance cybersecurity measures. This role involves developing and optimizing machine learning models to detect and prevent cyber threats.
This is a 1 year fixed term contract based in Cork, Ireland

Key Responsibilities:

• Develop and implement machine learning models to identify and respond to cybersecurity threats.
• Collaborate with cybersecurity SMEs, security analysts, and engineers to identify and address complex cybersecurity challenges.
• Optimize machine learning models for performance and scalability.
• Collaborate with Cybersecurity Engineers and Analysts to integrate machine learning models into cybersecurity platforms.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Assist in the creation of technical documentation and reports.
• Stay informed about the latest trends and advancements in machine learning and cybersecurity.
• Support the Principal Machine Learning Engineer in research and development activities.

Qualifications:

• 5+ years of experience in machine learning, with a preference for cybersecurity applications.
• Strong programming skills in Python.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Good understanding of cybersecurity principles and threat detection techniques.
• Strong analytical and problem-solving skills.
• Excellent teamwork and communication skills.

Preferred Qualifications:

• Experience with Azure Databricks and AzureML.
• Certifications such as CISSP, CEH, or similar.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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.

• Develop and implement machine learning models to identify and respond to cybersecurity threats.
• Collaborate with cybersecurity SMEs, security analysts, and engineers to identify and address complex cybersecurity challenges.
• Optimize machine learning models for performance and scalability.
• Collaborate with Cybersecurity Engineers and Analysts to integrate machine learning models into cybersecurity platforms.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Assist in the creation of technical documentation and reports.
• Stay informed about the latest trends and advancements in machine learning and cybersecurity.
• Support the Principal Machine Learning Engineer in research and development activities