Apollo Agriculture

Machine Learning Engineer

Amsterdam, Tech, Netherlands

Compensation: $ 50000 - $ 90000

Machine Learning Engineer
🌍 Amsterdam | Tech | Full Time | Hybrid

Join Apollo Agriculture, a pioneering agri-fintech platform, dedicated to empowering small-scale farmers across Africa! We leverage cutting-edge artificial intelligence and automated operations to provide farmers with optimized financing, quality farm products, and expert digital advice, enhancing their profits and sustainable farming practices. 📈🚜

About the Role:
We are on the lookout for an exceptional Machine Learning Engineer to join our Tech team! In this role, you'll develop predictive Machine Learning models that enhance our credit decisioning, fraud prevention, and farming advisory capabilities. By integrating diverse data sources—such as survey data, satellite imagery, and weather forecasts—you will elevate the accuracy of our models and enrich our customer experience. 🤖🌾

Key Responsibilities:

  • Build and deploy Machine Learning models that optimize our product and customer lifecycle.
  • Design and implement scalable systems to meet growing demands.
  • Maintain and enhance our cloud-based ML Platform, facilitating feature engineering and model training in production.
  • Propose innovative uses for ML models across the organization.
  • Mentor peers on effective application of machine learning to improve our products.
  • Collaborate with Product, Engineering, and Credit teams to evolve our capabilities.

What We’re Looking For:

  • Passionate about transforming smallholder farmers' livelihoods.
  • Innovative problem solver, adept at tackling challenging conditions (e.g., limited tech infrastructure).
  • Minimum 3+ years as a ML Engineer, Data Scientist, or in a similar role, with hands-on experience in ML Platforms and Model Pipelines.
  • Proficient in programming languages like Python, Java, Golang, or Scala, with 5+ years in software development at a tech company.
  • Familiar with cloud computing fundamentals, particularly AWS (1+ year experience with services like ECS and Sagemaker).
  • Exceptional communication skills, able to translate technical solutions into easily understandable documents.
  • Proactive problem solver with a “whatever it takes” attitude, skilled at managing cross-team collaborations.

Why Join Us?

  • Collaborate with a team of ambitious professionals dedicated to customer service.
  • Embrace a dynamic environment that encourages talent growth and collaborative problem-solving.
  • Enjoy competitive compensation and benefits while working on challenging projects.
  • We value autonomy, honesty, transparency, and respect in our workplace culture.

At Apollo Agriculture, we believe in creating an inclusive environment where everyone has the chance to excel. We especially encourage female candidates to apply! 🌟

Ready to make a difference? [APPLY FOR THIS JOB]