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Job Description
Role: ML Ops Engineer Duration: Full time Location: Remote Overview Seeking an experienced ML Ops Engineer to build and operate scalable ML infrastructure supporting predictive models, NLP, and LLM applications in a healthcare environment. The role focuses on automation, deployment, monitoring, governance, and HIPAA-compliant ML operations.
Key Responsibilities
Build automated ML training, evaluation, and deployment pipelines using MLflow, Databricks Workflows, and AWS SageMaker. Manage model s…
Required Skills
Upskill for This Role
Courses from Udemy and edX matched to this role's skills.

MLflow for Kubernetes: Deploy and Manage ML Models at Scale

Introduction to MLOps with MLFlow

MLOps Tools: MLflow and Hugging Face

Automated CI/CD in Azure Databricks using GitHub Actions

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【日本語試験問題集】Databricks認定データエンジニア-アソシエイト-
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