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Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. Build a strong understanding of our current computer vision systems and data pipelines. DeepWalk’s computer vision platform for
In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine learning techniques to convert messy, real-world health data into insight about the healthcare market. Engineer features and conduct applied research across time-series, geosp
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. We are seeking a Data Scientist II with strong experience in computer vision and deep learning
Train, evaluate, and iterate on computer vision models for:. Data Pipelines and Dataset Quality. Experience building training and data pipelines for medium to large scale datasets.