Staff AI Scientist
GE HEALTHCARE · Bengaluru, Karnātaka, India
Posted 4 days ago
About this role
<h1><b><b><b>Job Description Summary</b></b></b></h1>We are looking for an exceptional Staff AI Scientist with a strong research background and deep expertise in Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Large Language Models, and Agentic AI. This role is ideal for a highly analytical and innovation-driven professional who can lead advanced AI research, design production-grade intelligent systems, and translate emerging AI capabilities into real business impact.<br><br>The ideal candidate will hold a PhD or Masters in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, with proven experience in both scientific research and practical AI solution development. The candidate should also have hands-on expertise with AWS Bedrock, AWS SageMaker, and Responsible AI practices, including fairness, explainability, governance, privacy, and bias mitigation.<br><br>This role requires a rare blend of scientific depth, engineering strength, business understanding, and the ability to work across highly ambiguous and fast-evolving AI problem spaces.<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1><b>Job Description</b></h1><p>Key Responsibilities</p><ul><li>Conduct advanced research in <b><span>artificial intelligence</span></b>, with focus areas including <b><span>machine learning, deep learning, generative AI, large language models, natural language processing, GANs, multimodal AI, and agentic AI systems</span></b>.</li><li>Design, prototype, and validate novel AI algorithms, architectures, and workflows for real-world use cases.</li><li>Explore and apply cutting-edge approaches in <b><span>transformers, fine-tuning, retrieval-augmented generation (RAG), prompt optimization, autonomous agents, multi-agent systems, model alignment, and reasoning frameworks</span></b>.</li><li>Lead experimentation across model trainin
Apply for this role on GE HEALTHCARE’s official careers site.