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GM Financial

Cybersecurity AI/ML Engineer

GM Financial

Cybersecurity AI/ML Engineer developing scalable detection capabilities for cybersecurity at GM Financial. Collaborating with specialized teams to manage and respond to threats in a mission-focused environment.

Posted 6/1/2026full-timeIrving • Texas • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies
Cyber SecurityDNSDockerITSMKubernetesPandasPySparkPythonScikit-LearnSwitchingTCP/IP

About the role

Key responsibilities & impact
  • Develop, deploy, monitor, tune, evaluate, report and maintain systems and procedures
  • Identify and mitigate threats to the corporate network, corporate assets, and corporate users
  • Identify core requirements, design, and implement security technologies
  • Work with stakeholders to perform ongoing tuning and alerting on security technologies
  • Incorporate advanced AI and machine learning methodologies into cybersecurity data
  • Transform cybersecurity data into scalable detection capabilities
  • Enhance analytics and improve threat detection under complex and adversarial conditions
  • Prepare technical requirements and standards
  • Assist in the identification, engineering and designing of security technologies including Security Incident and Event Managers (SIEM) and threat intelligence solutions
  • Perform analysis of system logs to identify unauthorized use or access
  • Create, analyze and communicate security metrics to leadership
  • Participate in emergency response and security incident activities
  • Recommend and evaluate security tools to identify more efficient and effective security measures
  • Develop and deploy machine learning models for threat detection (anomaly detection, classification)
  • Build feature engineering pipelines from security telemetry (logs, endpoint, network data)
  • Implement and manage ML model training, experimentation and tuning workflows
  • Deploy ML models using containerized environments (Docker, Kubernetes)
  • Monitor model performance, drift and detection accuracy in production
  • Apply AI-driven insights to threat hunting and incident response
  • Collaborate with engineering and infrastructure teams to support scalable ML-enabled security systems

Requirements

What you’ll need
  • 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 DNS
  • Communicates 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 obstacles, build on others ideas, think logically and intuitively
  • Detailed oriented
  • 1-5 years of experience in large and complex business environments with a successful track record working directly with senior level management preferred
  • 1-5 years of experience in one or more of the following domains: Cybersecurity, Information Security, Data Science or related field.
  • 1-3 years of experience with developing or supporting machine learning models in a security context preferred.
  • High School Diploma or equivalent required
  • Bachelor’s Degree in Cybersecurity, Computer Science, Data Science or related field or equivalent work experience strongly preferred.
  • One or more security related certifications, such as CISSP, CCNP-Security, GIAC, CEH, or CPTS highly preferred
  • AI/ML certifications are a plus.

Benefits

Comp & perks
  • Generous benefits package available on day one to include: 401K matching
  • bonding leave for new parents (12 weeks, 100% paid)
  • tuition assistance
  • training
  • GM employee auto discount
  • community service pay
  • nine company holidays

ATS Keywords

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Hard Skills & Tools
machine learninganomaly detectionstatistical modelingPythonpandasscikit-learnPySparknetworking conceptsTCP/IPOSI model
Soft Skills
project managementeffective communicationnegotiationtime managementproblem-solvinganalytical skillscreativityattention to detailopen-mindednesstechnical writing
Certifications
CISSPCCNP-SecurityGIACCEHCPTSAI/ML certificationsBachelor’s Degree in CybersecurityBachelor’s Degree in Computer ScienceBachelor’s Degree in Data ScienceHigh School Diploma