AI Engineer

Role: Senior Staff AI Engineer at GE HealthCare, focused on designing, building, deploying, and optimizing large-scale AI solutions to enhance clinical workflows using generative AI, foundation models, and modern machine learning. Responsibilities: develop scalable AI applications leveraging healthcare datasets (EMRs, waveforms, clinical reports), create inference pipelines, optimize models via prompt engineering and fine-tuning, implement responsible AI practices, and collaborate cross-functionally to transition models into production. Qualifications: Master's degree in STEM with 3+ years or PhD in relevant fields; proven experience with large language models, generative AI, and deploying production AI systems; strong Python and C++ programming skills; familiarity with AI frameworks such as PyTorch, Hugging Face, DeepSpeed; experience with healthcare data, especially high-dimensional medical imaging or time-series datasets. Preferred: experience with distributed AI systems, enterprise AI platforms, healthcare datasets, and optimizing model performance at scale. HighValue: focus on healthcare AI applications, clinical workflows, large language models, and responsible AI deployment. WorkSetup: global collaborations across US, France, Israel, India; flexible work environment; no visa sponsorship; competitive salary and benefits.