Lead ML SecOps Engineer — AI Security & DevSecOps (Hybrid)

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

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