Data Scientist
Core
Develop and deploy ML models and GenAI solutions (LLMs, RAG, chatbots) via rapid prototypes and MVPs.
Role type
Mid-level IC data scientist (GenAI/ML)
Builds
Production-ready AI/ML prototypes and MVPs
Domain
Healthcare technology / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, supervised/unsupervised learning algorithms, LLMs, RAG systems, data preprocessing, EDA, model evaluation metrics
Preferred skills
MLOps tools (MLflow, Airflow), cloud platforms (Azure, AWS, GCP), chatbot development
Technologies
scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, MLflow, Airflow, Azure, AWS, GCP
Responsibilities
Execute PoCs and MVPs for AI/ML projects, develop and refine ML models, build and deploy GenAI solutions, evaluate model performance and fine-tune algorithms, monitor GenAI outputs for bias/hallucinations, document model development processes
Seniority
Mid-level, hands-on IC
