MLOps Engineer @ Azra AI | Jobright.ai
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MLOps Engineer jobs in Nashville, TN
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Azra AI · 23 hours ago

MLOps Engineer

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Artificial Intelligence (AI)Health Care

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Responsibilities

Design and implement ML pipelines to deploy machine learning models.
Automate the deployment, monitoring, and retraining of models.
Work with data scientists and engineers to move models from development to production.
Ensure scalability, security, and robustness of deployed models in cloud environments (GCP).
Implement CI/CD pipelines for continuous model delivery and improvement.
Monitor model performance and implement monitoring/alerting systems for production models.
Collaborate with data engineers to manage data pipelines and integration for model training and deployment.
Optimize cloud infrastructure (GCP) for cost-effectiveness and performance.

Qualification

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MLOps toolsPythonGCPDeploying modelsMonitoring modelsKubeflowMLflowTensorFlow ExtendedDockerKubernetesCI/CD toolsData pipelinesData engineering workflowsGitLabJenkins

Required

Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow, TensorFlow Extended).
Strong programming skills in Python, with experience in Docker, Kubernetes, and cloud infrastructure (GCP preferred).
Familiarity with CI/CD tools like GitLab, Jenkins, or equivalent.
Experience in deploying, monitoring, and scaling machine learning models in production environments.
Knowledge of data pipelines and data engineering workflows.

Preferred

Experience in cloud infrastructure (GCP preferred).

Company

Azra AI

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Azra AI provides a better care experience and better outcomes by quickly analyzing, identifying, and classifying oncology patients.

Funding

Current Stage
Early Stage
Total Funding
unknown
2022-03-10Pre Seed· Undisclosed

Leadership Team

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Brook Blackmore
Vice President Clinical Operations
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Company data provided by crunchbase
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