Remote Machine Learning Engineer

Machine Learning EngineerResponsibilities:Learn our in-house machine learning framework based on AWS and open-source toolsMaintain several deployed models and their data pipelinesWork with data scientists to automate and scale feature engineering, model training, validation, and deploymentWork with data engineers to connect to data sources and understand data nuancesSkills/Experience:Experience with git and using source control in a collaborative environmentExperience with Python, AWS, and geospatial tools (GDAL and python libraries like geopandas, xarray)Experience with machine learning platforms and open-source MLOps tools is preferredExperience with database (postgres) or python web framework (django/flask) is preferredB.S. in Computer Science, Software Engineering, or related disciplinesRequired Skills: Geospatial experience Basic Qualification: Additional Skills:We are hiring for a large agriscience company's first ever ML Engineer. In this role you would have the opportunity to not only shape what ML learning looks like at a working at Fortune 250 company, you would also get an opportunity to work on a fairly interesting project. They are working on an application that would recommend seeds to particular fields based upon specific variables such as location, weather, soil composition, etc.