AI Ops Engineer Remote Jobs
AI Ops Engineers (or MLOps Engineers) build the infrastructure and tooling that lets AI teams move fast — CI/CD for models, experiment tracking, model serving, monitoring, and automation. Remote MLOps jobs involve designing training pipelines, setting up model registries, implementing A/B testing frameworks, monitoring model drift, and building self-service ML platforms. If you love infrastructure, automation, and enabling ML engineers to ship faster, this is your role.
PythonDockerKubernetesMLflowAirflowTerraformAWS/GCPCI/CDMonitoring
Showing 5 remote AI Ops Engineer jobs
Senior AI Infrastructure Engineer (Europe based – Remote)
SWORD Health
Portugal
5d
LeadFull-TimePythonGoMySQLRedisAWS+3vibe-coding
LLM AIOps Development Engineer - Data Center Networking
Data Center NetworkingSan Jose, California
18d
vibe-coding
AI Infrastructure Engineer at Hydra Host
Hydra Host
Anywhere
28d
midGoKubernetesPyTorchai-tools
MLOps Engineer, Mid 4 Locations
Booz Allen Hamilton$77–176
Anywhere
1mo
midPythonAWSKubernetesai-tools
Senior AI Infrastructure Engineer, AI Tooling - DGX Cloud
NVIDIA
Anywhere
1mo
seniorPythonGoKubernetesai-tools
Frequently Asked Questions About AI Ops Engineer Jobs
- What does an AI Ops / MLOps Engineer do?
- MLOps Engineers build infrastructure for ML workflows — automating training pipelines, versioning datasets and models, deploying models to production, monitoring performance and drift, implementing feature stores, and creating self-service tools for data scientists and ML engineers. It's DevOps for machine learning.
- What skills are needed for MLOps roles?
- Strong software engineering and DevOps skills (Docker, Kubernetes, CI/CD, cloud platforms), familiarity with ML workflows and tools (MLflow, Airflow, Kubeflow), Python, infrastructure-as-code (Terraform), and monitoring systems. Understanding of ML fundamentals helps but deep ML knowledge isn't always required.
- What's the salary for remote MLOps Engineers?
- MLOps Engineers earn $120k–$250k+ remotely. Senior MLOps engineers at tech companies can earn $160k–$300k+ total comp. The role is in high demand as every company building ML needs infrastructure to deploy and maintain models at scale.
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