AI/ML/NLP DevOps Engineer

Leading Medical Industry Software company seeks an experienced AI/ML/NLP Engineer (Agile/DevOps/DevSecOps) $$$ Interviewing NowThis Jobot Job is hosted by: Michael SchluterAre you a fit? Easy Apply now by clicking the ''Apply Now'' button and sending us your resume.Salary: $110,000 - $160,000 per yearA bit about us:In business for roughly a decade, we provide Health Information Management and Computer Assisted Clinical Documentation Improvement Services that pair with innovative technology, which leverages Artificial Intelligence (AI) and Machine Learning (ML) to code claims and to analyze and interpret clinical documentation. We support these efforts all the way through to medical claims remittance and payment by providing revenue cycle management services. Our proprietary technology-enabled process improvement model allows providers to gain back control of their time and refocus on delivering quality patient-centered care.Why join us? Competitive base and overall compensation package Generous vacation, sick, and paid holidays Full Benefits: Medical, Dental, and Vision Life Insurance coverage 401(k) with company matchJob DetailsResponsibilities: Developing new models and algorithms in Natural Language Processing, Machine Learning and Deep Learning Design, implement and train machine learning/deep learning architectures Establish evaluation metrics, analyze performance, brainstorm future steps, perform exploratory data analysis and perform data visualization Train and evaluate ML and NLP models for multi-label classification and regression problems Improve runtime, scalability and reliability of NLP/ML systems Design data acquisition and data labeling systems Develop and enhance data platform and infrastructure to intake, clean and structure multi-modal patient encounter dataQualifications & Experience: 3+ Years of professional experience in NLP/ML B.S. or M.S. in Computer Science, Data Science or Engineering background Track record of productionizing NLP/ML models Strong understanding of Machine Learning and Deep Learning fundamentals Fluency in Python and ML/NLP libraries such as Tensorflows, Keras, Scikit-Learn, SpaCy, Pytorch, Spark NLP, etc. Experience with distributed, cloud databases and data lakes/warehouses Experience with API development and integration Experience with Continuous Integration tools such as Jenkins Hands on familiarity with Microservices Experience with designing and building applications using GCP platform services, Docker and Kubernetes Experience designing and building applications using Container and Serverless technologies Experience in architecting or developing large-scale distributed systems Experience architecting, designing & programming applications in an AWS/GCP/Azure Cloud environment Knowledge of CPU and/or GPU architecture Direct experience in Agile, Devops, DevSecOps delivery using these stacksInterested in hearing more? Easy Apply now by clicking the ''Apply Now'' button.

Created: 2021-11-29