Agrograph

Machine Learning Engineer

Job description

Agrograph Inc., a global agrifinance company building field-scale predictive models for risk-based analysis of agricultural assets, is seeking a Machine Learning Engineer. We are looking for an experienced, results-oriented, intellectually curious, and self-learning data engineer to join our growing team.

Job Responsibilities
  • Building and deploying prototype models to production environments.
  • Developing, debugging, and deploying python code in a production environment
  • Experience with Google cloud platform (or AWS) deploying models for (daily, weekly) runs
  • Building scalable and automated data models
  • Bonus: Remote sensing or image processing experience
  • Bonus: experience using Google Earth Engine
Job Requirements
  • 3-5 years of industry experience developing, debugging, and deploying python code in a production environment
  • Experience with Agile methodologies, and version control (Git)
  • Demonstrated ability to work on fast-pace team and take initiative
  • A strong desire to write clean, readable, and easily maintainable code
Benefits
  • Contribution to Simple IRA retirement package with 3% matching
  • Flexible schedule, Remote Position

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