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Comprehensive Rehab Consultants

Are you ready to Join a dynamic growing company that is raising the standard in post-acute care? At Comprehensive Rehab Consultants, we focus on the quality of care and provide our healthcare professionals the support, respect, and responsibility their advanced medical degree deserves. The future of healthcare relies on the brightest minds and biggest hearts. Join CRC and be part of the team building tomorrow's healthcare.Work for a fast-growing and fun company that is changing the way healthcare is delivered. We pride ourselves on having great culture, robust career advancement opportunities, and going the extra mile for all our teammates.Advantages of Joining CRC:<ul><li>Physician-owned and operated organization providing inpatient subacute rehabilitation consultation services throughout the country</li><li>Focus on inpatient Physical Medicine and Rehab post-acute care</li><li>Part-time 1099 role with opportunity for full-time work in near future</li><li>In-person visits to SNFs once/twice a week</li><li>No weekends or calls</li><li>Autonomy and flexibility with schedule</li><li>Work/life balance</li><li>Administrative and billing/coding support services</li></ul>Benefits:<ul><li>Highly competitive compensation</li><li>Full-time Virtual Scribe for assistance with documentation ($1,368/month value)</li><li>100% malpractice insurance coverage</li><li>Laptop</li><li>Flexible scheduling to accommodate work/life balance</li><li>Opportunity for growth and teaching role with additional bonuses</li></ul>Responsibilities/Qualifications:<ul><li>Function as a healthcare provider for patients in a short-term rehab setting within Skilled Nursing Facilities</li><li>Candidates must be board certified or board eligible and qualify for medical licensure in the State of Missouri.</li><li>Board Certified Physiatrist/PM&amp;R (Physical Medicine and Rehab)</li><li>Once/twice a week visit</li></ul>Pay:<ul><li>Base Salary of $1,000 to oversee 2 mid-level providers</li><li>Additional $250 for each additional mid-level they are overseeing</li><li>Site visits to be compensated at $500 per visit</li></ul>Job Type: Part-timePay: From $16,000.00 per monthBenefits:<ul><li>Flexible schedule</li></ul>License/Certification:<ul><li>Physical Medicine and Rehabilitation Certification (Required)</li><li>Medical License in Missouri (Required)</li></ul>Work Location: In person

Rounding/Collaborating Physician - Physiatrist/PM&R

About Comprehensive Rehab Consultants (CRC)Comprehensive Rehab Consultants partners with skilled nursing facilities to improve clinical quality, efficiency, and financial performance. CRC is recognized as an innovator in the post-acute care space, developing new AI-driven care and revenue models that decrease hospitalizations and improve outcomes.We are seeking a Machine Learning Engineer to drive the next generation of CRC&rsquo;s AI platform. This role is engineering-heavy, focused on building, tuning, and deploying scalable ML/NLP/LLM systems that power our clinician tools, financial analytics, contract modeling, DFS/PDPM engines, readmission risk scores, and enterprise analytics chatbot.Role SummaryYou will design, optimize, and productionize machine learning systems using CRC&rsquo;s full internal data environment. This includes tuning an existing NLP engine, 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 all business units.This role requires someone who ships ML systems&mdash;not someone who just builds notebooks.Key ResponsibilitiesMachine Learning &amp; Statistical Modeling<ul><li>Build, tune, and validate statistical models including multi-stage regression, ordered probit, and generalized linear models, audit automation, acuity scoring, and financial forecasting</li><li>Engineer features from structured and unstructured healthcare data (EMR, claims, revenue cycle, clinician notes)</li></ul>NLP &amp; LLM Engineering<ul><li>Tune the existing CRC NLP engine for clinical note understanding, keyword extraction, concept expansion, negation detection, and sentiment scoring</li><li>Build custom clinical embeddings using HuggingFace Transformers, spaCy, and domain-tuned vector models</li><li>Develop and maintain a CRC private LLM, trained on internal knowledge bases, documentation, analytics logic, and care guidelines</li><li>Build automated pipelines for LLM evaluation, retraining, retrieval-augmented generation (RAG), and grounded QA</li></ul>AI-Driven Product Development<ul><li>Architect, build, and deploy the AI Analytics Chatbot, integrating model logic, business rules, and Fabric/Databricks data sources</li><li>Integrate ML models into production services using notebooks, APIs, or batch inference jobs</li><li>Support creation of AI-generated reporting, insights summaries, and automated clinical/financial narratives</li></ul>MLOps &amp; Engineering<ul><li>Build maintainable ML pipelines (training, validation, deployment) using Databricks, Fabric, MLflow, GitHub, and CI/CD</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Package and deploy reproducible models via APIs or scheduled Fabric/Databricks workflows</li></ul>Collaboration &amp; Delivery<ul><li>Work with data engineering to embed models into CRC applications</li><li>Partner with BI analysts to transform model outputs into dashboards</li><li>Document methodologies, assumptions, architecture, and validation processes clearly</li></ul>Required Skills &amp; Experience<ul><li>3&ndash;6 years of hands-on machine learning engineering experience (not just DS notebooks)</li><li>Strong Python engineering background: pandas, scikit-learn, statsmodels, PyTorch or TensorFlow, transformers, spaCy</li><li>Experience building and tuning LLM and NLP pipelines end-to-end</li><li>Experience with regression, ordered probit/logit, hierarchical models, and general statistical modeling</li><li>Experience deploying ML workloads in Databricks, Azure ML, and Fabric</li><li>Strong SQL for feature engineering and model validation</li><li>Prior experience working with healthcare data (EMR, claims, RCM, CMS) preferred</li><li>Strong communication and the ability to explain complex ML systems to non-technical stakeholders.</li><li>Proactive, self-managing engineer who can independently own ML systems end-to-end.</li><li>Fluent English required</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Retrieval-Augmented Generation (RAG) pipelines</li><li>Vector databases (FAISS, Chroma, Pinecone, Qdrant)</li><li>Enterprise chatbot frameworks</li><li>MLflow, CI/CD, GitHub Actions, and model versioning</li><li>Power BI integration for ML outputs</li><li>FHIR/SMART on FHIR</li></ul>Certifications considered:<ul><li>Databricks ML Associate/Professional</li><li>Azure AI Engineer Associate</li><li>DeepLearning.AI NLP/LLM specializations</li></ul>Job Type: Full-timePay: From Rs3,030,000.00 per yearExperience:<ul><li>hands-on machine learning engineering: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: Remote

Machine Learning Engineer

About Comprehensive Rehab Consultants (CRC)Comprehensive Rehab Consultants partners with skilled nursing facilities to improve clinical quality, efficiency, and financial performance. CRC is recognized as an innovator in the post-acute care space, developing new AI-driven care and revenue models that decrease hospitalizations and improve outcomes.We are seeking a Machine Learning Engineer to drive the next generation of CRC&rsquo;s AI platform. This role is engineering-heavy, focused on building, tuning, and deploying scalable ML/NLP/LLM systems that power our clinician tools, financial analytics, contract modeling, DFS/PDPM engines, readmission risk scores, and enterprise analytics chatbot.Role SummaryYou will design, optimize, and productionize machine learning systems using CRC&rsquo;s full internal data environment. This includes tuning an existing NLP engine, 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 all business units.This role requires someone who ships ML systems&mdash;not someone who just builds notebooks.Key ResponsibilitiesMachine Learning &amp; Statistical Modeling<ul><li>Build, tune, and validate statistical models including multi-stage regression, ordered probit, and generalized linear models, audit automation, acuity scoring, and financial forecasting</li><li>Engineer features from structured and unstructured healthcare data (EMR, claims, revenue cycle, clinician notes)</li></ul>NLP &amp; LLM Engineering<ul><li>Tune the existing CRC NLP engine for clinical note understanding, keyword extraction, concept expansion, negation detection, and sentiment scoring</li><li>Build custom clinical embeddings using HuggingFace Transformers, spaCy, and domain-tuned vector models</li><li>Develop and maintain a CRC private LLM, trained on internal knowledge bases, documentation, analytics logic, and care guidelines</li><li>Build automated pipelines for LLM evaluation, retraining, retrieval-augmented generation (RAG), and grounded QA</li></ul>AI-Driven Product Development<ul><li>Architect, build, and deploy the AI Analytics Chatbot, integrating model logic, business rules, and Fabric/Databricks data sources</li><li>Integrate ML models into production services using notebooks, APIs, or batch inference jobs</li><li>Support creation of AI-generated reporting, insights summaries, and automated clinical/financial narratives</li></ul>MLOps &amp; Engineering<ul><li>Build maintainable ML pipelines (training, validation, deployment) using Databricks, Fabric, MLflow, GitHub, and CI/CD</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Package and deploy reproducible models via APIs or scheduled Fabric/Databricks workflows</li></ul>Collaboration &amp; Delivery<ul><li>Work with data engineering to embed models into CRC applications</li><li>Partner with BI analysts to transform model outputs into dashboards</li><li>Document methodologies, assumptions, architecture, and validation processes clearly</li></ul>Required Skills &amp; Experience<ul><li>3&ndash;6 years of hands-on machine learning engineering experience (not just DS notebooks)</li><li>Strong Python engineering background: pandas, scikit-learn, statsmodels, PyTorch or TensorFlow, transformers, spaCy</li><li>Experience building and tuning LLM and NLP pipelines end-to-end</li><li>Experience with regression, ordered probit/logit, hierarchical models, and general statistical modeling</li><li>Experience deploying ML workloads in Databricks, Azure ML, and Fabric</li><li>Strong SQL for feature engineering and model validation</li><li>Prior experience working with healthcare data (EMR, claims, RCM, CMS) preferred</li><li>Strong communication and the ability to explain complex ML systems to non-technical stakeholders.</li><li>Proactive, self-managing engineer who can independently own ML systems end-to-end.</li><li>Fluent English required</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Retrieval-Augmented Generation (RAG) pipelines</li><li>Vector databases (FAISS, Chroma, Pinecone, Qdrant)</li><li>Enterprise chatbot frameworks</li><li>MLflow, CI/CD, GitHub Actions, and model versioning</li><li>Power BI integration for ML outputs</li><li>FHIR/SMART on FHIR</li></ul>Certifications considered:<ul><li>Databricks ML Associate/Professional</li><li>Azure AI Engineer Associate</li><li>DeepLearning.AI NLP/LLM specializations</li></ul>Job Type: Full-timePay: From &#8377;949,364.77 per yearBenefits:<ul><li>Paid time off</li></ul>Experience:<ul><li>hands-on machine learning engineering: 3 years (Preferred)</li></ul>Language:<ul><li>English (Preferred)</li></ul>

Join Comprehensive Rehab Consultants and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Comprehensive Rehab Consultants

ABOUT_COMPANY

Rounding/Collaborating Physician - Physiatrist/PM&R

Machine Learning Engineer

Machine Learning Engineer