Staff Data Scientist
GE HealthCare (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, train, and optimize NLP and machine learning models for clinical document understanding, information extraction, and conversational AI in healthcare.
- Build scalable data pipelines, implement production-ready AI services/APIs, and collaborate with software engineering teams to integrate AI capabilities into products.
- Deploy and monitor AI models using MLOps, ensure compliance with healthcare quality, privacy, security, and regulatory requirements.
Minimum Requirements
- Master's degree with 5+ years or PhD with 2+ years experience in Computer Science, Data Science, AI/ML, Computational Linguistics, or related fields.
- Strong experience in NLP, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Information Extraction, Named Entity Recognition (NER), and Text Analytics.
- Hands-on proficiency with Python, PyTorch/TensorFlow, Hugging Face, NLTK/spaCy, and modern AI frameworks.
- Experience with cloud-native applications, REST APIs, microservices, CI/CD, Docker, Kubernetes, AWS/Azure/GCP, and MLOps best practices.
Ideal Candidate Profile
- Proven ability to move AI solutions from research stage to production in regulated healthcare environments.
- Experience working cross-functionally with product managers, clinical experts, and engineers to deliver impactful AI healthcare products.
- Technical leadership or mentoring experience, especially in healthcare AI or clinical NLP domains.