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Cybersecurity AI/ML Engineer
GM FinancialCybersecurity 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.
Tech Stack
Tools & technologiesCyber 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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