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Machine Learning - Hospital Experience

Machine Learning - Hospital Experience

ProsumLos Angeles, CA, United States
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Minimum Experience :

  • 3 or more years relevant Machine Learning Engineer Experience.
  • Proven experience with : Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP). Containerization technologies (e.g., Docker) or containerorchestration platforms (e.g., Kubernetes). CI / CD tools (e.g., Github Actions). Programming languages andframeworks (e.g., Python, R, SQL). MLOps engineering principles, agile methodologies, and DevOps life-cycle management. Technical writing and documentation for AI / ML models and processes. Healthcare data andmachine learning use cases.
  • Healthcare Expertise : Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.

REQUIRED qualifications :

  • Experience in managing end-to-end ML lifecycle.
  • Experience in managing automation with Terraform.
  • Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
  • CI / CD tools (e.g., Github Actions).
  • Programming languages and frameworks (e.g., Python, R, SQL).
  • Deep understanding of coding, architecture, and deployment processes
  • Strong understanding of critical performance metrics.
  • Extensive experience in predictive modeling, LLMs, and NLP
  • Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs
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    Machine Learning • Los Angeles, CA, United States

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