Machine Learning Security Engineer

American Express is looking for a highly motivated and experienced Machine Learning Security Engineer to join our team! In this role, you will be responsible for using machine learning and data analysis to identify and mitigate security risks.We are looking for someone with an engineering background and a deep understanding of machine learning and security principles. You must have a proven track record of developing secure and reliable systems, and have a strong understanding of data privacy regulations. You should also have excellent problem solving skills and be able to communicate your ideas effectively. At American Express, we value diversity, collaboration, and innovation. We are looking for a creative and passionate Machine Learning Security Engineer who will bring fresh ideas and enthusiasm to our team. If this sounds like the perfect role for you, we'd love to hear from you!

Responsibilities:

1. Utilize machine learning and data analysis techniques to identify and mitigate security risks.
2. Develop secure and reliable systems and applications.
3. Stay up to date with data privacy regulations.
4. Apply problem solving skills to identify, diagnose, and resolve complex technical issues.
5. Communicate ideas effectively and collaborate with team members.
6. Develop innovative solutions to enhance security protocols.
7. Monitor and analyze system performance.
8. Provide technical guidance and training to team members.
9. Prepare reports and documentations that summarize findings and solutions.

According to JobzMall, the average salary range for a Machine Learning Security Engineer in Sunrise, FL, USA is $90,000 - $122,000 per year. This range may vary depending on the company, experience level, and other factors.

American Express Co. operates as a global services company, which engages in the provision of credit card, financial, and global travel services. It operates through the following business segments: U.S. Card Services, International Card Services, Global Commercial Services, Global Network & Merchant Services, and Corporate.