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Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer
Job Description
Title:
Lead MLSecOps Security Engineer Specialty:
Artificial Intelligence /Machine Learning Security Remote-Hybrid-Onsite:
Hybrid 3 Days Onsite / 2Days Remote Location:
Roseland, NJ or Alpharetta, GA 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.Contract Duration:
9-12 month Contract to Hire Required Skills & Experience 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 What You Will Be Doing Tech Breakdown 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 Benefits 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 Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.Benefits
- Sick Leave
- 401(k) Plans
- Health Insurance
- Dental Insurance
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$130,801 / year median in New Jersey