Lead MLSecOps Security Engineer

Motion Recruitment Partners LLC.
Alpharetta, GA, United States
14 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Kubernetes Security Java (Programming Language) JavaScript (Programming Language) .NET Framework Artificial Intelligence C Sharp (Programming Language) Cloud Computing Cyber Security Databases Continuous Integration Cursor (Graphical User Interface Elements) Information Security Management
+21 more
Python (Programming Language) Machine Learning Open Web Application Security Tensorflow Software Engineering SQL Databases Microsoft Power Automate GitHub Copilot Large Language Models Software Security Model Validation Backend GWAPT Kubernetes Machine Learning Operations Virtual Agents Restful APIs Devsecops Databricks Vulnerability Analysis Microservices

Job description

  • Python / Backend Engineering
  • AI/ML and MLOps
  • Agentic AI / AI Coding Agents
  • GenAI / LLM Security
  • CI/CD and DevSecOps
  • Cloud 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

Requirements

  • 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 RAG
  • Strong application and AI/ML security knowledge
  • Knowledge of OWASP AI/ML and LLM vulnerabilities
  • MLOps pipelines and model deployment experience
  • CI/CD automation and security integration
  • SQL/database and data-system familiarity
  • Understanding of cloud and container security
  • Strong communication and problem-solving skills

Desired Skills & Experience

  • MLflow, Kubeflow or SageMaker
  • Databricks
  • AI Security Posture Management (AI-SPM)
  • AI/ML model scanning and vulnerability assessment
  • Java, JavaScript, C#, .NET or Go
  • RESTful web services
  • Microservices architecture
  • Model formats including pickle, TensorFlow and safetensors
  • CEH, CISSP, CSSLP, GCIA, GPEN or GWAPT

Benefits & conditions

  • 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
  • Paid Sick Time Leave
  • Legal and Identity Protection Plans
  • Pre-tax Commuter Benefit
  • 529 College Saver Plan

About the company

Our client is a global leader in human capital management and HR technology. Based out of Roseland, NJ and Alpharetta, GA, they are looking to hire a Lead MLSecOps Security Engineer on a contract basis.

This is an opportunity to work at the intersection of software engineering, artificial intelligence and cybersecurity, helping establish how AI coding agents, autonomous workflows and machine learning systems are securely developed and deployed. The ideal candidate enjoys remaining hands-on with Python and AI/ML technology while tackling emerging security challenges involving Agentic AI, LLMs, model security and AI-assisted software development.

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