
About Us:
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.
This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
What you will do at Episource:
You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.
Required Skills:
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Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience
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Knowledge of React/Vue, HTML, CSS
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Experience building and consuming APIs
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Experience with MySQL, MongoDB and MEAN stack
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Knowledge and experience with serverless architectures is a plus
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Hands-on experience with AWS or any major cloud service provider for deploying solutions
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Experience with Docker or Kubernetes in deploying solutions on the cloud
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Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.
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Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

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