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Senior Machine Learning Engineer

Description

Job Description/Summary/Objectives:


UPMC Presbyterian Shadyside seeks a Senior Machine Learning Engineer to perform both exploratory and targeted algorithm development and research to develop cutting-edge natural language processing (NLP) and machine learning algorithms. Find artificial intelligence (AI) solutions to ongoing healthcare problems, dedicated to converting advanced concepts in natural language processing and machine learning research into real-world healthcare developing technology solutions as well as predictive patient analytics. Propose statistical or machine learning model/methodology for problem-solving. Propose accuracy measures and validation criteria for the model. Implement and evaluate proposed model/methodology. Evaluate new hardware and software products and technologies and participate in project assessments as necessary. Implement packaged solutions. Customize packages for local needs using proprietary APIs, tools and scripting languages. Develop and validate system requirements and specifications. Design schemes, architecture and models and create and test prototypes.


Job Responsibilities:


- Perform both exploratory and targeted algorithm development and research to develop cutting-edge natural language processing (NL) and machine learning algorithms.
- Find artificial intelligence (AI) solutions to ongoing healthcare problems, dedicated to converting advanced concepts in natural language processing and machine learning research into real-world healthcare developing technology solutions as well as predictive patient analytics.
- Propose statistical or machine learning model/methodology for problem-solving.
- Propose accuracy measures and validation criteria for the model.
- Implement and evaluate proposed model/methodology.
- Evaluate new hardware and software products and technologies and participate in project assessments as necessary.
- Implement packaged solutions. Customize packages for local needs using proprietary APIs, tools and scripting languages.
- Develop and validate system requirements and specifications.
- Design schemes, architecture and models and create and test prototypes.

Qualifications


Basic Qualifications and Licensure/Certification:

-Master’s degree or equivalent in Biomedical Informatics, Computational Biology, Information Systems Management or a related field
-Two (2) years of machine learning, software engineering or related research experience;
-using at least one of the following statistical modeling tools: R, Matlab, Weka;
- programming with various languages (e.g. Python, Java);
- developing machine learning and natural language processing methods;
- working with and manipulating datasets;
- utilizing Elasticsearch to process datasets; and
- building proof of concept applications.

Location: Pittsburgh, PA, United States
Job ID: 1900015S

UPMC is an equal opportunity employer.
Minority / Females / Veterans / Individuals with Disabilities