Job Details

Lead AI Platform Engineer - NLP Platform

Advertiser
Humana
Location
Torrance, California, United States
Rate
-
Description Humana drives innovation to create artificial intelligence, machine learning, and data-driven platforms, products, and services for the entire organization. The Artificial Intelligence Engineering team is crucial for enabling and empowering Natural Language Processing (NLP) data scientists and business groups such as Pharmacy, Benefits & Claims processing with innovative software solutions and technologies on Azure. The Lead AI Platform Engineer will work with the product owner, data scientists, NLP specialists, analysts, business, and IT teams. In addition, the Lead AI Platform Engineer leads the designing, implementing, and deploying of NLP Platform application services using Python, Kubernetes, Message Queues, and other open-source software available for processing unstructured and streaming data. Some examples of the team's innovation in collaboration with the Data Science team include: Analyzing customer calls using NLP to extract features for use in Machine Learning and predictive models Performing OCR and NLP on images to match faxed medical records with patient authorizations to deliver more effective healthcare Using BERT-based language embedding technologies to improve the performance of NLP models Deploying NLP models that analyze social worker, nurse, and physician notes to find evidence of social needs, to feed predictive models used to rank patients most likely to show conditions like food insecurity Responsibilities Key Responsibilities Technical leadership for a small team of engineers to design, develop, and deliver backend NLP Platform applications, scalable document processing pipelines using Python, Kubernetes, NoSQL database, Redis, Azure Service Bus on Azure Cloud with microservices architecture Lead development of API-based system-to-system synchronous and asynchronous integrations to integrate Humana Claims Management, and Pharmacy with NLP document processing pipelines Wrap machine learning models created by data scientists as microservices to integrate into NLP pipelines Partner with the product owner to understand the problem to be solved, explore solutions options, and identify the optimal solution. Collaborate with the product owner to scope and breakdown the solution into meaningful product backlog for development Oversee the technical design, implementation plans, code, CI/CD automated tests, and documentation Approve pull requests, perform peer code reviews, and peer testing/QA for product owner acceptance Co-own technology roadmap, prioritized technical debt, and maintain high-level design documents with peer leads Lead tier-1/2 engineering support to troubleshoot and resolve critical customer escalations on functional, technical, stability, and performance issues Collaborate and work in a fast-paced agile environment, closely interacting with business and some of the industry's best software engineers, machine learning scientists, data engineers, and data scientists Collaborate and influence peer architects with knowledge-sharing sessions. Training and mentoring engineers Required Experience Skills and Qualifications Bachelor's Degree or above in computer science or engineering 6-8 years of enterprise software development experience, with significant server-side Python experience using microservices and serverless architecture 3+ years of data modeling and database development experience with any one of SQL Server, Oracle, MySQL, PostgreSQL, Cassandra, RedShift, or MongoDB 3+ years of experience with backend synchronous and asynchronous API development experience for system-to-system integrations 2+ years of experience with deploying server-side backend applications on Kubernetes clusters in Azure or AWS, or GCP cloud DevOps hands-on experience with modern CI/CD automation eco-systems such as Azure DevOps and pipelines, Terraform Solid knowledge of data structures, algorithms, and design patterns Willingness to learn modern technologies and understand unfamiliar data domains and new business processes quickly CI/CD and test automation Desirable Experience Skills and Qualification Experience in data engineering, ETL, and data analytics + Experience in Node.js, server-side JavaScript, Java, Go, or other back-end languages Experience in health care or financial services industry handling PHI/PII/PFI data Open-source contributions and portfolio of shipped code at GitHub Prior experience designing and building NLP APIs and services for unstructured data processing Introduction to basic NLP/ML/AI concepts for computer vision, image processing, and NLP applications Scheduled Weekly Hours 40 Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our

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