Machine Learning Engineer – Healthcare Focused
WVU Medicine
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudJavaOpen SourcePythonSOAP
About the role
- Data mining, data cleaning, data engineering.
- Select features, build, and optimize classifiers for the use of machine learning techniques.
- Develop new ML algorithms to find predictive patterns.
- Establish meaningful criteria for evaluating algorithm performance and suitability.
- Automate model training and testing and deployment via machine learning continuous delivery pipelines.
- Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code.
- Optimize processes for maximum speed, performance and accuracy.
- Keep up to date with Machine Learning best practices and evolving open source frameworks.
- Work in an agile team in a scrum process, collaborating closely with software engineers, data scientists, data engineers, subject domain experts and QA analysts.
Requirements
- Bachelor's degree in Machine Learning, Computer Science, Computer Linguistics, Mathematics, or related field AND three (3) years of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling OR Master’s Degree AND one (1) year of experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling
- Publications at top-tier peer-reviewed conferences or journals.
- Successful Kaggle competition with top ranking.
- Experience with healthcare and/or finance.
- Experience in data science, mathematics.
- 3 years of software development experience.
- Experience in programming languages like Python and Java.
- Experience working with cloud-based services and systems including one or more of Amazon ML, Microsoft Azure, Google Cloud ML, or similar.
- Experience in object-oriented design, data structures, high-performance computing.
- Experiences using system monitoring tools and automated testing frameworks.
- Experience delivering systems and services with large scale deployment of machine learning products.
- Experience in building natural language processing and computer vision systems.
- Experience with Agile and Scrum Software Development methodologies.
- Experience with SOA standards, including SOAP, REST, WSDL, XML, XSD, XSLT, UDDI.
Benefits
- Normal office environment
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data miningdata cleaningdata engineeringmachine learning techniquesML algorithmsmodel trainingmodel testingnatural language processingcomputer visionobject-oriented design
Soft skills
collaborationagile methodologyscrum processcommunication
Certifications
Bachelor's degree in Machine LearningBachelor's degree in Computer ScienceBachelor's degree in Computer LinguisticsBachelor's degree in MathematicsMaster’s Degree