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Metro location, popular AI title, and broad required skillset increase applicant competition.
Requires provider healthcare and EHR experience, reducing cross-industry transferability.
Multiple mandatory filters: 6+ years, healthcare/EHR experience, GenAI, Azure MLOps.
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Lead end-to-end development and deployment of scalable AI models focused on healthcare applications, including LLM fine-tuning and multimodal systems.
Manage AI production lifecycle using cloud-native tools (Azure ML), ensuring model performance, compliance, and reliability in healthcare environments.
Provide technical leadership across design, evaluation, bias mitigation, and cross-functional collaboration with clinical and product teams.
Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
Minimum 6+ years industry AI/ML experience, including 2+ years with GenAI, NLP/NLU, and LLMs.
Experience in healthcare AI with provider-side exposure to EHRs or clinical data domains.
Proficient in Python, PyTorch/TensorFlow, hands-on LLM fine-tuning, STT/TTS models, MLOps, and Azure cloud production environments.
Experienced in deploying production-grade AI models in healthcare, comfortable navigating HIPAA/GDPR and clinical compliance.
Technical leader capable of driving AI architecture decisions, bias mitigation, and model evaluation with clinical outcome focus.
Skilled in collaborating cross-functionally with clinical and product stakeholders to translate healthcare needs into scalable AI solutions.