Ml / Data Engineer – Data Science Enablement

Amgen Inc

Python and sql programming skills
Databricks and cloud platform experience
Ml lifecycle management tools like mlflow
This role supports the Rare Disease Business Unit patient finding team by building scalable pipelines and productionizing machine learning models

Job Summary

  • This role supports the Rare Disease Business Unit patient finding team by building scalable pipelines and productionizing machine learning models.
  • The candidate will design model evaluation, validation, and monitoring frameworks to ensure reliable deployment of patient finding solutions.
  • Candidates must have strong programming skills in Python and SQL along with experience in distributed computing using Spark or PySpark.

Matching Summary

This role supports the Rare Disease Business Unit patient finding team by building scalable pipelines and productionizing machine learning models.

Skills & Requirements

Must-have

  • Python and SQL programming skills
  • Databricks and cloud platform experience
  • ML lifecycle management tools like MLflow
  • Experience with Spark or PySpark
  • Model deployment and monitoring practices

Nice-to-have

  • Healthcare or commercial analytics context
  • Feature store or reusable data assets
  • Patient journey use case experience
  • Containerization and orchestration frameworks
  • Strong collaboration with data science teams

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 3–5 years of experience in ML engineering or data engineering
  • Working knowledge of at least one cloud platform (AWS, Azure, or GCP)

Work Rights

Not specified

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