ML/AI Ops Engineer

Job Category: MLOps / AI Engineering / Platform / Security

Contract Type: Full-Time, Permanent

Location: Remote — Worldwide

Salary: $30,000–$140,000 (wide range per RemoteOK listing — likely geography-adjusted)

Application Link: https://remoteok.com/remote-dev-jobs (search "ML AI Ops Engineer")

Posted: Within the last week on RemoteOK

Job Description: You'll build and maintain the ML and AI operations infrastructure that enables the deployment, monitoring, and governance of AI models at enterprise scale in a data security context.

Key Responsibilities:

• Build and maintain MLOps infrastructure for training, deployment, monitoring, and governance of AI/ML models
• Design CI/CD pipelines for ML model lifecycle management
• Implement model monitoring, drift detection, and performance tracking systems
• Collaborate with data scientists and AI engineers to ensure models move efficiently from research to production
• Maintain compliance and security standards for AI systems in regulated environments

Skills Required: MLOps, Python, Kubernetes, Docker, CI/CD for ML (MLflow, Kubeflow, or similar), cloud infrastructure (AWS or GCP), model monitoring, data versioning.

Requirements:

• MLOps or AI platform engineering experience
• Strong Python and cloud infrastructure background
• Experience with ML model lifecycle management in production
• Security-aware engineering mindset a strong plus