Lead MLSecOps Security Engineer

Kelly Science, Engineering, Technology & Telecom; Roseland (NJ); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance - multiple plans

401(k) with matching

HSA contributions

Disability Insurance

Life Insurance

Petrol/Voucher programs

Job summary

Kelly Science, Engineering, Technology & Telecom is seeking a Lead MLSecOps Security Engineer for a 9-12 month contract, hybrid at Roseland, NJ and Alpharetta, GA. This role blends software engineering, AI and cybersecurity to securely develop and deploy AI coding agents, autonomous workflows and ML systems.

The ideal candidate remains hands-on with Python and AI/ML, tackling security challenges around Agentic AI, LLMs and model deployment, while collaborating with security and ML teams to

Qualifications

• 8+ years of IT or cybersecurity experience.
• 5+ years of hands-on software engineering experience.
• 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.

Responsibilities

• 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.
• 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.

Skills

AI/ML security

MLOps

CI/CD security

Cloud security

Container security

SQL/databases

Agentic AI

Security architecture

Communication skills

Python

Tools

MLflow

Kubeflow

SageMaker

Databricks

Job description

Specialty: Artificial Intelligence / Machine Learning Security

Remote-Hybrid-Onsite: Hybrid 3 Days Onsite / 2 Days Remote

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
• 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
• RESTful web services
• Model formats including pickle, TensorFlow and safetensors
• CEH, CISSP, CSSLP, GCIA, GPEN or GWAPT

What You Will Be Doing

• 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
• Medical Insurance - Four medical plans to choose from for you and your family
• 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
• Legal and Identity Protection Plans
• 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.