Requirements
Must have:
- Bachelors Degree in Business, IT, Mathematics, Data Analytics, Engineering, or a similar field - Masters Degree in Business, IT, Mathematics, Data Analytics, Engineering, or a similar field (preferred) - Over 8 years of experience with Machine Learning/Artificial Intelligence tools and technologies - Minimum of 5 years experience in Python or R and SQL - At least 2 years of experience as a Full Stack Machine Learning Engineer or in a similar capacity - 2+ years of experience in a healthcare setting preferred - Familiarity with unstructured data, NLP technologies, and big data - Proficient in using one of the following open-source ML libraries/frameworks: PyTorch, TensorFlow, Keras, or Numpy - Experience with Foundation models, Prompt Engineering, fine-tuning, or RAG - Knowledge of Data Management, Data Warehousing, Data Engineering, and Data Governance concepts preferred - Experience with Cloud technologies such as AWS, Azure, or GCP - Demonstrated intellectual curiosity and integrity - Combination of education and experience may be considered in lieu of formal degree
Responsibilities:
- Collaborate with clinicians and operational experts to create machine learning solutions that enhance healthcare operations and patient care - Develop and implement predictive models and machine learning algorithms for use in healthcare - Build and deploy Agentic AI and automation solutions using RAG or by fine-tuning foundational models - Design, cultivate, and sustain robust and scalable ML pipelines for data ingestion, feature engineering, model training, deployment, and monitoring - Stay updated on the latest developments in AI and Machine Learning technologies - Conduct thorough evaluations of models through performance testing and bias assessments - Mentor and support junior team members, sharing knowledge of AI/ML techniques and best practices - Design and implement RESTful APIs for the integration of ML models or GenAI solutions with organizational systems
Company:
We are a forward-thinking organization committed to leveraging AI to improve patient care and operational efficiency in healthcare. Our multidisciplinary team consists of Data Engineers, Data Architects, BI Developers, and operational experts, all working together under the VCU Health umbrella.
We offer an innovative and collaborative work environment where you can make a real impact. Our focus is on creating solutions that enhance clinical and financial outcomes, making this an exciting opportunity for those eager to be at the forefront of AI advancements in healthcare.
VCU Health