Remote AWS MLOps DevOps Engineer {Minimum 15+ years overall experience needed}

Title: Remote AWS MLOps DevOps Engineer {Minimum 15+ years overall experience needed}

Location: Remote

Job Description

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• We are looking for an MLOps Engineer to build and run the pipelines and infrastructure that take machine learning and AI models from development into production.
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• You'll work with data scientists, engineers and platform teams to make sure models are deployed reliably, monitored well and kept secure as they scale.
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Required Skills

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• Strong hands-on experience with at least one major cloud platform: AWS, Azure or GCP.
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• Experience in MLOps for machine learning and AI workloads.
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• Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Azure ML or Databricks.
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• Skilled with Docker and Kubernetes.
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• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI or Azure DevOps.
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• Infrastructure as Code with Terraform, CloudFormation or similar tools.
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• Good scripting skills in Python and Bash.
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• Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog or CloudWatch.
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• Good understanding of the ML lifecycle and how models are served in production.
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Good to Have Skills

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• Experience deploying and running Generative AI or LLM-based applications, including API gateways and model serving.
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• Cloud certifications such as AWS DevOps or ML Specialty, or Azure DevOps Engineer.
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• Exposure to finance or other regulated industries.
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• Experience in large enterprise or client-facing consulting settings.
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