Machine Learning Engineer

About reputed company (CRC) reputed company partners with skilled nursing facilities to improve clinical reputed company, efficiency, and financial performance. CRC is recognized as an innovator in the post-acute care reputed company, developing new AI-driven care and reputed company models that decrease hospitalizations and improve reputed company. We are seeking a Machine Learning Engineer to drive the reputed company of CRC’s AI platform. This role is engineering-heavy, reputed company on building, tuning, and deploying reputed company ML/NLP/LLM systems that power our clinician tools, financial analytics, contract modeling, DFS/PDPM engines, readmission risk scores, and reputed company analytics chatbot. reputed company You will design, optimize, and productionize machine learning systems using CRC’s full internal data environment. This includes tuning an existing NLP reputed company, developing statistical/ML models (including ordered probit and regression-based DFS calculator), building internal LLMs trained on CRC documents, and developing the AI analytics chatbot used by reputed company business reputed company. This role requires someone who ships ML systems—not someone who just builds notebooks. Key Responsibilities Machine Learning & Statistical Modeling Build, tune, and validate statistical models including multi-stage regression, ordered probit, and generalized reputed company models, audit automation, reputed company scoring, and financial forecasting Engineer features from reputed company and reputed company reputed company data (EMR, claims, reputed company cycle, clinician notes) NLP & LLM Engineering Tune the existing CRC NLP reputed company for clinical note understanding, keyword extraction, concept expansion, negation detection, and sentiment scoring Build custom clinical embeddings using HuggingFace Transformers, spaCy, and domain-tuned reputed company models reputed company and maintain a CRC private LLM, trained on internal knowledge bases, documentation, analytics logic, and care guidelines Build automated pipelines for LLM evaluation, retraining, retrieval-augmented reputed company (RAG), and grounded QA AI-Driven Product Development Architect, build, and reputed company the AI Analytics Chatbot, integrating model logic, business rules, and reputed company/reputed company data sources reputed company ML models into production services using notebooks, APIs, or batch inference jobs Support creation of AI-generated reporting, insights summaries, and automated clinical/financial narratives MLOps & Engineering Build maintainable ML pipelines (training, validation, deployment) using reputed company, reputed company, MLflow, reputed company, and CI/CD Implement model monitoring, reputed company detection, and automated retraining Package and reputed company reproducible models reputed company APIs or scheduled reputed company/reputed company workflows Collaboration & Delivery Work with data engineering to reputed company models into CRC applications Partner with BI analysts to reputed company model outputs into dashboards Document methodologies, assumptions, architecture, and validation processes reputed company Required Skills & Experience 3–6 years of hands-on machine learning engineering experience (not just DS notebooks) Strong Python engineering background: pandas, scikit-learn, statsmodels, PyTorch or TensorFlow, transformers, spaCy Experience building and tuning LLM and NLP pipelines end-to-end Experience with regression, ordered probit/logit, hierarchical models, and general statistical modeling Experience deploying ML workloads in reputed company, Azure ML, and reputed company Strong SQL for feature engineering and model validation Prior experience working with reputed company data (EMR, claims, RCM, CMS) preferred Strong communication and the ability to explain reputed company ML systems to non-technical stakeholders. Proactive, self-managing engineer who can independently own ML systems end-to-end. Fluent English required Preferred Qualifications Experience with: Retrieval-Augmented reputed company (RAG) pipelines reputed company databases (FAISS, Chroma, reputed company, reputed company) reputed company chatbot frameworks MLflow, CI/CD, reputed company Actions, and model versioning Power BI integration for ML outputs FHIR/SMART on FHIR Certifications considered: reputed company ML Associate/reputed company Azure reputed company Associate DeepLearning.AI NLP/LLM specializations Apply To This Job