Apollo Agriculture

Senior Machine Learning Engineer

Netherlands

Hybrid

Full Time

#Engineering

#Python

#Java

#Golang

#Scala

#AWS

#ECS

#Sagemaker

#Machine Learning

#Cloud Computing

Apollo Agriculture is looking for a Senior Machine Learning Engineer

Full Time Senior Hybrid Netherlands Engineering Python Java Golang Scala AWS ECS Sagemaker Machine Learning Cloud Computing English Hybrid work

Apollo Agriculture is a commercial farming platform dedicated to helping small-scale farmers significantly increase their profitability. By utilizing machine learning to power credit models and automated operations, we unlock the potential of the small-scale farming market. Our team is composed of experts from organizations like Google, The Climate Corporation, and Booking.com, and we are looking for a Senior Machine Learning Engineer to join our Data Science team in the Netherlands on a hybrid basis.

Responsibilities

Develop machine learning models that enhance our product and improve the customer lifecycle.
Design and deploy scalable systems to meet our increasing operational demands.
Manage and improve our cloud-based machine learning platform, focusing on feature engineering, model development, and production training.
Identify and evaluate new opportunities to integrate machine learning across our business.
Provide mentorship to peers and engineers to help them effectively apply machine learning techniques.
Work closely with our product, engineering, and credit teams to refine our fraud detection, credit decisioning, and advisory tools.

Must-haves

At least 3 years of experience in a machine learning engineering or data science role, with a focus on maintaining model pipelines and ML platforms.
5 or more years of professional software development experience at a fast-growing technology company, with proficiency in Python, Java, Golang, or Scala.
At least 1 year of experience with AWS cloud infrastructure, specifically using ECS and Sagemaker to build and deploy models.
Strong communication skills, with the ability to translate complex technical challenges into clear documentation and proposals.
A creative, hands-on approach to problem-solving, especially when working with limited datasets or challenging infrastructure environments.
Fluency in English.

Benefits

Hybrid work environment.

Apollo Agriculture

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Senior Machine Learning Engineer at Apollo Agriculture