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Senior Scientist - AI/ML - GE HealthCare
Software Engineer
Lead AI/ML initiatives in healthcare, driving statistical modeling, generative AI, and semantic analysis to solve early‑stage data challenges using Python, deep learning, and cloud platforms.
About the role
Key Responsibilities
- Lead cross‑functional teams to design, develop, and deploy machine learning models for medical data analysis.
- Apply advanced statistical methods and deep learning techniques to extract insights from complex datasets.
- Develop and integrate generative AI and semantic analysis solutions to enhance clinical decision support.
- Collaborate with data engineers to ensure scalable, reproducible pipelines on cloud platforms.
- Mentor junior scientists and promote best practices in model validation, documentation, and ethical AI use.
Requirements
- PhD or Master’s in Computer Science, Statistics, Biomedical Engineering, or related field.
- 5+ years of experience in applied machine learning, preferably in healthcare or life sciences.
- Proficiency in Python, TensorFlow/PyTorch, and statistical software.
- Strong background in generative AI, semantic analysis, and deep learning architectures.
- Experience with cloud services (AWS, Azure, or GCP) and CI/CD for ML workflows.
Skills
pythonmachine learninggenerative aideep learning