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Cyber Security AI/ML Engineer

https://www.citi.com/ Logo

Citi

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Location:
Hungary , Budapest

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The Cloud Technology Services team in Citi is home to deeply talented colleagues that work on the entire technology stack to enable modern and secure infrastructure to ensure the safety of Citi's clients' and our proprietary data. We manage information security as one end-to end program – one with a clear mandate and accountability. Our mission is a program that is fully anchored to modern control and architectural frameworks, is fully aligned with the enterprise architecture of the firm and is deeply integrated into the Citi Business. Cloud & Network Services (CNS) team is responsible for delivering integrated infrastructure and network services with special focus on security at the foundation. Within CNS, Global Perimeter Security Services team is responsible for delivering layered defense in depth technologies and innovation on a global scale. This role entails working on latest generation of AI/ML technologies from a cyber defense perspective. The role includes both Run the Bank and Change Back Activities, however heavily focusing on Change the Bank activities: researching, designing, deploying and managing AI/ML systems in a secure and scalable form, delivering across the infrastructure stack. Change the Bank activities involve significant focus on efficacy of AI models, test infrastructure, automation, capacity, defining model validation thresholds, test cases and enable data feedback loop for further R&D Activities.

Job Responsibility:

  • Be part of a team of data scientists focusing on AI/ML related global projects delivering against strategic commitments
  • Lead CTB transformational and RTB activities across CNS and act as focal point managing AI/ML related cyber security platforms and enabling secure GenAI capabilities
  • Develop proper AI model validation framework and test infrastructure
  • Develop infrastructure service capabilities that enable secure AI/ML consumption at scale
  • Working with Transformation Program Directors, Senior Architects, Steering Committees on execution of cyber security programs
  • Work with global cyber security industry partners on influencing next generation cyber technology, take part in related R&D efforts as it pertains to AI/ML.
  • Responsible for inventory, accuracy and engineering excellence activities for assigned services and products, models and AI systems.

Requirements:

  • 5+ years of relevant cybersecurity and/or IT experience
  • Experience working with and developing Deep Learning Neural Networks and related AI models
  • Detailed understanding of GenAI/LLM capabilities, related technology stack, models and use-cases
  • Thorough understanding of industry and corporate technology standards for Cyber Security services
  • Demonstrated ability to take ownership and work with cross functional teams to manage multiple projects simultaneously under pressure
  • Advanced analytical and problem-solving skills
  • Consistently demonstrates clear and concise written and oral communication as well as strong presentation skills to both technical and non-technical audiences.
  • Bachelor’s degree in relevant subject or equivalent work experience
What we offer:
  • Cafeteria Program
  • Home Office Allowance (for colleagues working in hybrid work models)
  • Paid Parental Leave Program (maternity and paternity leave)
  • Private Medical Care Program and onsite medical rooms at our offices
  • Pension Plan Contribution to voluntary pension fund
  • Group Life Insurance
  • Employee Assistance Program
  • Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
  • Flexible work arrangements to support you in managing work - life balance
  • Career progression opportunities across geographies and business lines
  • Socially active employee communities with diverse networking opportunities

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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