Lead Machine Learning Engineer

📋 Description Drive development of predictive systems to solve real-world challenges faced by farmers Conduct extensive literature reviews and stay ahead of the curve with respect to machine-learning Own architectural design and all phases of model development: design, dataset construction Support work in production and learn from system behavior in the field Exercise a high degree of creativity to proactively deliver innovative ideas 🎯 Requirements Deep academic and/or professional background applying machine learning to solve real-world problems Demonstrated experience designing, deploying, and monitoring machine learning systems to production Strong causal reasoning and ability to design models that reflect real-world dynamics Strong data intuition and ability to work with noisy, high volume, high-dimensional datasets Fluency in Python and experience contributing to or working on complex, collaborative codebases Proficiency in contemporary AI companions and tooling for software and engineering productivity 🎁 Benefits Work that genuinely matters - helping farmers improve livelihoods and build more sustainable Spectacular people solving hard problems Autonomy, mastery, and learning define how we work Freedom to work on interesting problems, master new skills, and continuously develop yourself $1,000 personal growth fund High-trust culture with office-first approach