Software Engineer – ML (Machine Learning Engineer)
Job TypeFull Time
Experience- 5 years
Job FieldICT / Computer
What You’ll Do

  • Develop and maintain high-performance, high-availability production level algorithms based on statistical modeling procedures and machine learning models to analyze the quality and performance of data and data pipelines
  • Develop algorithms to analyze multiple large structured & unstructured datasets to extract insights and relationships within and between them
  • Develop algorithms for outlier detection, missing value imputation etc across various types of structured & unstructured datasets
  • Liaise with stakeholders to analyze business problems, clarify requirements and define the scope of the resolution needed
    What We’re Looking For
  • 5+ years related experience
  • Bachelor’s degree in Engineering, Computer Science, Math, Statistics, Physics or a related field
  • Strong understanding of statistics, mathematics
  • Strong computer science fundamentals (data structures and algorithms, system design etc)
  • Ability to work collaboratively with team members across functional roles with strong communication and leadership skills
  • Familiarity with machine learning frameworks and libraries (tensorflow, scikit-learn, keras etc)
  • Ability to work in Python, Java, Scala or C++
  • Knowledge of distributed computing systems/frameworks (apache spark etc)
  • Passion for solving high impact problems with data driven tools
  • Experience working with geospatial data and/or Data Engineering


Click “APPLY FOR JOB” button above to apply for this job.

About Gro Intelligence

Gro Intelligence is changing the way the world understands agriculture. By structuring and interpreting the world’s agricultural data, we make complex analysis simple and accessible. Our cloud-based software, Gro, pulls every scattered bit of data related to food and agriculture and classifies it using a common language, transforming fragmented data into information. Its analytic capabilities and intuitive visualizations make it easy to discover, examine and understand relevant information. Previously teams of highly trained experts required weeks and specialized software to gather and comb through such data. Today, Gro makes this information searchable to anyone in minutes. Gro arms global policy makers, investors and corporates with the clarity and insight they need to make smarter decisions and uncover new opportunities. By making information easily accessible, Gro is transforming the way agricultural markets work. Gro Intelligence is headquartered in New York City and has offices in Nairobi, Kenya. Sara Menker serves as CEO.