Senior Applied Researcher AI/ML (US)
Core
Senior Applied Researcher developing AI/ML and GenAI solutions to solve critical challenges in the healthcare market, integrating models into large-scale cloud-based SaaS environments.
Role type
Senior Applied Researcher (AI/ML)
Builds
Production-ready model systems (predictive models, summarization, recommenders, semantic search, extraction, classification) for healthcare SaaS.
Domain
Healthcare technology / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, transformer models, LLM-based approaches, prompt tuning, PEFT methods (LoRA, QLoRA), big data frameworks (Azure Data Lake, Apache Spark, Databricks), modern ML packages (PyTorch, LightGBM, Scikit-learn), cloud infrastructure (Azure, AWS, Google Cloud), CI/CD pipelines, responsible AI evaluation (LLM-as-judge, RAGAS, LangSmith), reinforcement learning, NLP techniques, agentic frameworks (LangChain, LlamaIndex)
Preferred skills
Java
Responsibilities
Design, build, and evaluate AI/ML solutions for healthcare use cases; collaborate with product leaders, clinical informaticists, and engineers; perform data collection, cleaning, analysis, and model training; execute R&D for production-ready systems; implement custom model performance and quality metrics; contribute to team knowledge sharing.
Seniority
Senior, hands-on IC