The Machine Learning Specialist advances Advent Health Partners’ machine learning strategy. Advent has a number of tools designed to display and gather data. This data has deeper meaning and it is our goal as a company to build a machine learning architecture to maximize the interpretation of this data in order to develop reliable predictive models
Essential Duties and Responsibilities Communicate effectively with executive and clinical personnel Identify trends and relationships in the data used for creating and testing hypotheses. Mine and analyze structured/unstructured data to create algorithms Identify information-rich features in large target datasets Formulate innovative solutions to problems where machine learning is applicable Collaborate with Principal Scientist, Product Manager, Senior Application Developer and VP Engineering to produce the best possible end product Recommend a scalable, reliable hardware/software/saas platform Maintain discussions of proposed features as Github Issues Tweak and debug in collaboration with peers Maintain Slack conversations during working hours Provide work effort estimates to management to assist in setting priorities Deliver timely work in accordance with estimates Solve problems as they arise and communicate potential roadblocks to manage expectations Adhere strictly to all security policies.
Minimum Qualifications (Knowledge, Skills, and Abilities) Advanced Degree in a quantitative field such as Computer Science, Physics, Statistics, or related fields is preferred 2+ years in machine learning post-doc or professional Demonstrated experience working with both structured and unstructured data Demonstrated experience in identifying information-rich features and/or strategies for identifying information-rich features in large datasets
Knowledge of a variety of machine learning techniques (clustering, classification, regression, neural networks, etc.) and their real-world advantages/drawbacks Strong programming skills in Python and relevant ML libraries such as scikit-lern, TensorFLow and PyTorch. Experience in using NLP modules within Python Familiar with OCR modules within Python Experience in healthcare industry is a plus Experience in applying core Machine Learning methodologies: Regression, Naive Bayesian classifier, Clustering, Matrix Factorization, k-Nearest Neighbors, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning, Convolution Neural Networks Experience with AWS Proficient in REST, JSON Understanding of unit testing Strong written and verbal communication skills An experienced grasp of version control, branches and git in particular Thorough understanding of working in development, staging and production environments Unix-related skills including installation with apt-get, compiling from source, intermediate shell scripting
