We are seeking a Data Scientist with strong hands-on experience in building, training, and deploying machine learning models. The ideal candidate will be proficient in Python-based frameworks and capable of delivering production-ready solutions using modern tools and APIs. Experience in healthcare data is a plus.
- Design, develop, and deploy machine learning models using PyTorch
- Build and maintain scalable APIs for model serving with FastAPI
- Containerize and orchestrate ML applications using Docker
- Collaborate with engineering and product teams to integrate models into production environments
- Optimize performance and monitor deployed models to ensure reliability and scalability
- Work with structured and unstructured datasets, applying statistical and ML techniques to drive insights
- Strong proficiency in Python
- Hands-on experience with PyTorch for deep learning model development
- Proven experience developing and deploying APIs using FastAPI
- Experience with Docker for containerization and environment management
- Demonstrated ability to deploy and maintain ML models in production
- Prior experience in the healthcare or life sciences domain
- Familiarity with data security and compliance in healthcare (e.g., HIPAA)