Cybersecurity AI_ML Engineer

Job-:
Technology

Location:

Irving, TX, United States;
Arlington, TX, United States Workplace:
Hybrid

Schedule:

Full time Posted:
Why GMF Cybersecurity?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. By joining our team, you’ll work in a mission-focused environment with specialized teams, including Engineering, Threat Intelligence, Vulnerability Management, Incident Response, Firewall, Governance, Risk, Architecture and Offensive Security. These teams collaborate to identify, manage and respond to threats, all while driving innovation across the environment.

Cybersecurity is central to our strategic vision, so you’ll benefit from exceptional leadership visibility, with direct reporting lines to the CEO. This structure ensures your work is recognized and supported at the highest levels, while also enabling bold innovation and the adoption of cutting-edge technologies.

Shape the future of Cybersecurity at GM Financial, with the freedom to explore, the tools to build and the support to thrive. This position will be posted until filled.

Qualifications What makes you an ideal candidate?

Strong knowledge of networking concepts, protocols, and infrastructure security

Advanced knowledge in Infrastructure design and management

Working knowledge of management processes such as personnel administration, planning and budgeting

Strong working knowledge of Intel platforms, iSeries and pSeries servers

Advanced understanding of IT Service Management (ITSM) best practices and processes

Experience with UML Design Tools Advanced knowledge of TCP/IP, OSI model and imp subnetting

High level understanding of technology infrastructure, security concepts and platforms

Deep understanding of machine learning techniques including anomaly detection and statistical modeling

Experience with unsupervised, semi-supervised and advanced modeling approaches Strong foundation in probability, statistics and data analysis Experience designing experiments, validation strategies and evaluating model performance Expert-level Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark)

Experience with large-scale data processing and distributed data systems Ability to translate ambiguous cybersecurity problems into measurable analytical solutions Understanding of adversarial ML concepts and model robustness (preferred)

Experience with LLMs, deep learning or AI-assisted detection (preferred)
Demonstrated success in project management

Advanced knowledge of the OSI model and security that is associated with each layer

Understanding of routing and switching protocols as they relate to load balancing

Strong understanding of application layer protocols including HTTP, SSH, SSL and DNSCommunicates quickly, clearly, concisely, appropriately and intelligently

Foster open communication, speaks with impact, listens to others and writes effectively

Ability to effectively negotiate with vendors on upgrades and acquisitions

Effective planning, time management, negotiation and delegation skills

Expert level IT security processes and controls knowledge as well as IT infrastructure and networking technical knowledge

Ability to approach problems with an open-mind and create new and innovative ideas and methods

Advanced technical writing

Experience in documentation tools such as Visio and Microsoft Office products

Advanced information security standards/frameworks (i.e., NIST Cybersecurity Framework, ISO 27001) skills

Advanced experience with Network and VLAN segmentation

Strong analytical skills

Ability to approach problems with an open-mind, use existing information and resources

Creative, innovative, problem-solving and maximizing your potential to solve problems and improve methods

Think positively when faced with…