Position Details

Type Not Specified

Experience senior

Exp. Years 5+ years

Education BSc/MSc in CS/CE or related field (or equivalent experience)

Category AI & Machine Learning

About this role

Senior AI/MLOps Engineer focusing on Security and Networking Research to deploy and optimize AI models and agents in production across distributed environments.

Key Responsibilities

Develop and optimize scalable infrastructure for security AI models
Deploy and monitor AI models, LLMs and agents in production
Design pipelines for AI training, inference and experimentation
Integrate AI workflows with CI/CD and DevOps practices
Document guidelines and POCs for new features

Technical Overview

Proficiency in Python/Java/Scala; ML frameworks TensorFlow and PyTorch; microservices, Kubernetes, Docker; CI/CD with GitLab, GitHub Actions, Jenkins; cloud platforms; LLMs and agents deployment.

Ideal Candidate

The ideal candidate is a senior AI/MLOps engineer with 5+ years deploying AI/ML models at scale, including LLMs and agents, in production across distributed multi-node environments, with strong CI/CD and container orchestration.

Must-Have Skills

BSc/MSc in CS/CE or related field (or equivalent experience)5+ years deploying and monitoring AI/ML modelsLLMs and agents to productionProgramming in PythonJavaor ScalaExperience with TensorFlow or PyTorchExperience with microservicescontainer orchestrationcloud platformsExperience with GitLabGitHub Actions or JenkinsProactive and collaborative

Nice-to-Have Skills

Security in networkingKnowledge of network protocolsGenerative models deployment experienceNetwork security principles

Tools & Platforms

GitLabGitHub ActionsJenkinsKubernetesDockerCloud platforms

Required Skills

5+ years deploying and monitoring AI/ML modelsLLMs and agents; Python/Java/Scala; TensorFlow; PyTorch; microservices; container orchestration; cloud platforms; GitLab/GitHub Actions/Jenkins; inference optimization

Hard Skills

PythonJavaScalaTensorFlowPyTorchLLMsagentsmicroservices architecturecontainer orchestrationcloud platformsCI/CD tools

Soft Skills

detail-orientedproactiveownershipteam collaborationcommunication

Industry & Role

Industry Technology

Job Function Operationalize and optimize AI/ML production workflows for security and networking research

Role Subtype MLOps Engineer

Tech Domains Python, Java, Kubernetes, Docker, GitLab, GitHub Actions, Jenkins

Keywords for Your Resume

senior ai ml engineerai/mlmlopsllmagentsproductiondistributedmulti-nodepythonjavascalatensorflowpytorchgitlabgithub actionsjenkinskubernetesdockerci/cdmlops engineerai

Deal Breakers

Lack of 5+ years AI/MLOps production experience, No experience with LLMs/agents, No mastery of container orchestration

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile

Senior AI and MLOps Engineer - Security and Networking Research

Get matched to jobs like this