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Related skills

aws sql python pandas scikit-learn

📋 Description

  • Own end-to-end ML model lifecycle: EDA to deployment.
  • Collaborate with cross-functional teams to identify modeling opportunities.
  • Evaluate model performance and drive improvements.
  • Explore and integrate new data sources for predictive signals.
  • Ensure models are scalable, observable, and maintainable in production.

🎯 Requirements

  • 2+ years as ML Engineer or Data Scientist in fintech or fast-paced product env.
  • Solid foundation in classical ML; fluent with Pandas, scikit-learn, NumPy, SciPy.
  • Strong Python and SQL proficiency; experience with version control.
  • Strong ownership and accountability.
  • Experience with AWS or other cloud environments is a plus.
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