Lead NLP AI Engineer

Profile

Description

The Cognitive/Machine Learning Lead leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Cognitive/Machine Learning Lead works on problems of diverse scope and complexity ranging from moderate to substantial.

Responsibilities

You will have the opportunity to work on challenging NLP projects with the goal to improve the everyday life of our members. As Lead, you may direct a small team developing NLP applications. You will collaborate with data scientist, analyst, business and IT teams to design and implement NLP application services using Python, Azure services like CognitiveAI, and other open-source software available for handling unstructured and streaming data. You will be expected to lead by example, to develop plans, designs, code, and documentation, and perform code reviews, testing, and debugging.

Some examples of how we add capabilities to Humana data science work 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 exhibit conditions like food insecurity.

Engineering Philosophy

Building safe, secure data science applications in the cloud is not easy or trivial. It requires solid design, software development and social skills. Knowing this we work as a team to break apart the challenges inherent to our domain and work together to develop the best solution possible. To do this our team operates in an open environment where everybody is promoted to share their code and ideas, provide feedback on code/processes and document their work.

Some of the tools we use

NLP, OCR, Speech-to-Text, Azure CognitiveAI

Azure Data Factory, Azure Databricks, Azure Kubernetes Service, CosmosDB

Python, NoSQL, SQL

PySpark, Kafka, Docker

Job Description

Design and build secure NLP applications on Azure, using best practices in NLP, security, and Azure services

Understand available data, both structured and unstructured formats, and implement effective ways for processing in the cloud, including lambda architectures and serverless computing as appropriate.

Comfortable working in a fast-paced agile environment, closely interacting with business and some of industry's best software engineers, machine learning scientists, data engineers, and data scientists

Mentor junior team members, to help grow and mature the overall skillset of the team.

Role Essentials

BS in Computer Science or related field

5 years of experience working on cloud platforms (prefer Azure).

3 years of experience with NLP applications and techniques.

8 years of software development experience, with significant Python experience

Solid knowledge of data structures and algorithms

Ability to learn new technologies and comprehend unfamiliar data domains and business processes quickly

Role Desirables

Open-source contributions and portfolio of shipped code at GitHub

Familiar with medical/healthcare applications, terminologies, and data

Prior experience designing and building NLP APIs and services for data

Passion projects with NLP/ML/AI, for example computer vision, image processing, NLP applications

#HumanaStudioH

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com