Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer
Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer
Posted today
SENIORITY
Senior
SALARY
$80/hr
About the role
- 8+ years of IT or cybersecurity experience 5+ years of hands-on software engineering experience
- Strong Python/backend application development
- Hands-on AI/ML and MLOps experience
- Experience with AI coding agents such as GitHub Copilot, Microsoft Copilot, Cursor, Claude Code, Windsurf or similar
- Understanding of Agentic AI, autonomous workflows and RAGStrong application and AI/ML security knowledge
- Knowledge of OWASP AI/ML and LLM vulnerabilitiesMLOps pipelines and model deployment experienceCI/CD automation and security integrationSQL/database and data-system familiarity
- Understanding of cloud and container security
- Strong communication and problem-solving skills
- MLflow, Kubeflow or SageMakerDatabricksAI Security Posture Management (AI-SPM)AI/ML model scanning and vulnerability assessment
- Java, JavaScript, C#,.NET or GoRESTful web services
- Microservices architecture
- Model formats including pickle, TensorFlow and safetensorsCEH, CISSP, CSSLP, GCIA, GPEN or GWAPTWhat You Will Be DoingTech Breakdown
- Python / Backend EngineeringAI/ML and MLOpsAgentic AI / AI Coding AgentsGenAI / LLM SecurityCI/CD and DevSecOpsCloud and Container Security
- Model Security and Scanning
- Application Security
- Daily Responsibilities
- Design and maintain secure AI/ML pipelines for model evaluation, deployment and inference
- Evaluate and secure AI coding agents and autonomous development workflows
- Develop security guardrails for AI-assisted software development platforms
- Help establish an Agentic Development Lifecycle security framework
- Assess security risks involving models, agents, prompts, datasets and AI applications
- Develop Python code and automation supporting AI/ML security
- Integrate model and security scanning into CI/CD pipelines
- Assess emerging AI/LLM threats including prompt injection, poisoning and adversarial attacks
- Partner with ML engineers, data scientists, developers and security teams
- Document and communicate AI security controls and risks
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance 401(k) including match with pre and post-tax options
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
