Data Scientist

In this role, I will need you to research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. You will be responsible for developing and optimizing predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Designing robust data pipelines using tools like Spark and Kafka for real-time and batch processing is also part of the job. You will manage the machine learning lifecycle with tools such as Databricks, MLflow, and cloud-native platforms (Azure preferred). Collaborating with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001) will be a key part of your work. Additionally, you will ensure data governance, particularly around sensitive healthcare data, and share best practices while staying current with developments in AI, ML, and LLMs.