Senior Applied Researcher AI/ML ( CAD)
Core
Senior Applied Researcher developing GenAI and LLM-based model systems to solve critical healthcare challenges using large-scale datasets.
Role type
Senior Applied Researcher (AI/ML)
Builds
Production-ready AI/ML model systems (predictive models, summarization, recommenders, semantic search) integrated into cloud-based SaaS environments for healthcare providers.
Domain
Healthcare technology / Large Language Models / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, transformer models, LLM-based approaches, prompt tuning, PEFT methods (LoRA, QLoRA), Hugging Face Transformers, NumPy, SciPy, Pandas, Scikit-learn, PyTorch, LightGBM, big data frameworks (Azure Data Lake, Apache Spark, Databricks), cloud infrastructure (Azure, AWS, Google Cloud), CI/CD pipelines, reinforcement learning, RLHF, NLP techniques, RAG pipelines, agentic frameworks (LangChain, LlamaIndex)
Preferred skills
Java
Responsibilities
Apply machine learning and AI techniques to develop model systems; design and deliver high-value solutions with product leaders and clinical informaticists; perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation; apply responsible AI evaluation practices using frameworks like LLM-as-judge, RAGAS, and LangSmith; contribute to team culture and knowledge sharing.
Seniority
Senior, hands-on IC