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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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
Azra AI provides a better care experience and better outcomes by quickly analyzing, identifying, and classifying oncology patients.
Funding
Current Stage
Early StageTotal Funding
unknown2022-03-10Pre Seed· Undisclosed
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