AI Engineer II - Richmond, VA

Only for registered members Richmond, VA, United States

3 weeks ago

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Job summary

To be considered for the role you must permanently reside in one of the following states: Alabama Arkansas Florida Georgia Kentucky Kansas Maryland Michigan North Carolina Ohio South Carolina Tennessee Texas Virginia or West Virginia Are you passionate about building real-world AI that improves lives In this role you'll collaborate directly with clinicians operational SMEs clinical researchers and IT peers to design and deploy machine learning solutions that improve operational efficiencies in healthcare administrative areas and advance clinical care helping shape the future of patient care You'll work on production-grade ML systems explore emerging technologies like agentic AI and AR/VR build clinical decision support tools that can have a real impact on patient outcomes If you are a senior engineer who thrives at the intersection of engineering research and medicine we would love to meet you The role is responsible for advanced analytics applying statistical mathematical and computational models to diverse datasets to solve clinical business problems identify breakthrough opportunities Working with a multi-disciplinary team of Data Engineers Data Architects BI Developer and operational SMEs across VCU Health the AI Engineer III will work on complex business problems provide actionable insights with an overarching goal of improving clinical financial outcomes Essential Job Statements Develop predictive models machine learning algorithms clinicians staff use improve patient care operations performance Develop LLM based Agentic AI automation solutions using RAG fine-tuning foundation models Design develop maintain robust scalable ML pipelines encompassing data ingestion feature engineering model training deployment monitoring Conduct rigorous model evaluation including performance testing bias assessment ensure ethical reliable deployment AI systems Mentor guide junior members team sharing expertise in A IML techniques model development best practices Design implement RESTful APIs integrate ML models GenAI solutions applications systems within organization Patient Population N/A Employment Qualifications Required Education Bachelors Degree Business IT Math Data Analytics Engineering related discipline Preferred Education Masters degree Business IT Math Data Analytics Engineering or related discipline Licensing Certification Licensure Certification Required N A Licensure Certification Preferred N A Minimum Qualifications Years Type Required Experience 8+ years experience Machine LearningArtificial Intelligence tools technologies required 5+ years experience Python R SQL required 2+ years experience Full Stack Machine Learning Engineer similar role required Experience working unstructured data NLP technologies big data required Experience working one opensource ML librariesframeworks PyTorchTensorFlowKerasNumpy required Experience Foundation models Prompt Engineering fine-tuning or RAG required Knowledge Data ManagementData WarehousingData Governance concepts preferred


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