Associate Machine Learning Engineer
WVU Medicine
Location
🇺🇸 United States
Type
Full-time
Salary
Undisclosed
Posted
2d ago
Job Description
Welcome! We’re excited you’re considering an opportunity with us! To apply to this position and be considered, click the Apply button located above this message and complete the application in full. Below, you’ll find other important information about this position. The Associate Machine Learning Engineer supports the development, testing, and deployment of machine learning models that enhance healthcare operations and patient outcomes at WVU Medicine. Working under the guidance of senior engineers and data scientists, this role applies foundational machine learning and software engineering skills to build, evaluate, and deploy ML solutions. This position contributes to CI/CD pipelines, assists with model deployment and monitoring, and supports the integration of Generative AI and large language model (LLM) capabilities into enterprise systems. Follows established engineering and MLOps practices while developing skills in building production-grade systems. The Associate Machine Learning Engineer works with a variety of healthcare data sources, including electronic medical records, claims data, and unstructured data, to support the delivery of reliable, production-ready solutions. This role is suited for early-career professionals with a strong foundation in machine learning concepts, experience programming in Python, and an interest in applying AI within healthcare.
Minimum Qualifications
EDUCATION
, CERTIFICATION, AND/OR LICENSURE: • Bachelor’s degree in Machine Learning, Computer Science, Mathematics, Data Science, or related field AND one (1) year of professional experience in machine learning or software engineering (internships, academic research, and capstone projects qualify). OR • Master’s degree in a related field with no prior professional
experience required
.
Preferred Qualifications
EDUCATION
, CERTIFICATION, AND/OR LICENSURE: • Certifications or coursework related to machine learning, data science, or software engineering. Experience • Hands-on experience with machine learning and LLM (large language model) frameworks. CORE DUTIES AND