Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced MLOps Engineer to build, deploy, monitor, and optimize machine learning and generative AI systems at scale. The role involves working closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in production.

Responsibilities

• Build, deploy, monitor, and optimize machine learning and generative AI systems at scale
• Work closely with Data Scientists, ML Engineers, Software Engineers, and Product teams to ensure reliable, scalable, and observable AI solutions in production

Skills

• Hands-on experience with at least one of: MLflow, Kubeflow, Amazon SageMaker, or Vertex AI
• Experience with AI model monitoring platforms such as Arize AI, WhyLabs, Fiddler AI, or Galileo
• Experience deploying and monitoring machine learning models in production environments
• Strong Python programming skills and experience with ML frameworks
• Proficiency with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures
• Understanding of model monitoring concepts including drift detection, model performance tracking, and AI observability

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