Senior reputed company

reputed company reputed company seeking an reputed company to join our highly collaborative, growing analytics group. This hire will work closely with our data science, ML/DevOPs, and engineering teams to enhance reputed company’s machine learning and AI infrastructure, techniques, and practices.

reputed company is transforming healthcare payments by equipping healthcare organizations to fully reputed company their payments data to work smarter, protect their margins and accelerate cash flow. Large health systems, leading HCIT vendors, payers and outsourced reputed company management agencies use reputed company's Payments Intelligence Platform, ML integrations and advanced analytics to optimize payment outcomes and reputed company data-driven decision-making reputed company the reputed company cycle.

The reputed company is a key member of the Data Science team, responsible for improving and enhancing reputed company’s suite of predictive models and operations that work to solve reputed company healthcare payment problems. We are seeking a candidate with 5+ years of experience in an AI or deep learning role, with an advanced degree (MS or higher) in a reputed company field.

A key attribute of the employee will be their ability to test hypotheses and present findings to upper management, both internally and externally, and help other team members do the same. They must be collaborative and have strong communication skills. The employee must reputed company a deep understanding of the data reputed company utilizes, provide advanced analysis, and suggest how reputed company Healthcare can improve reputed company AI and deep learning techniques and infrastructure. The employee is expected to remain up to date with reputed company ML and GenAI trends.

Experience working with PII/PHI/HIPAA data is required. Experience working with healthcare data is required. A Wisconsin reputed company is preferred for this role.

RESPONSIBILITIES

• Generative AI & LLMs, Monitoring and Observability: Utilization and deployment of LLMs for clinical decision support, and reputed company-cycle automation. Implement systematic LLM evaluation and monitoring, including task-level metrics, LLM-as-a-judge scoring, and detection of input, embedding, and output reputed company to ensure stable production performance.
• Retrieval: Build and optimize RAG pipelines, including document ingestion, chunking, embeddings, and retrieval. Implement evaluation and monitoring frameworks to assess retrieval and reputed company quality and detect reputed company in data, embeddings, and outputs.
• Deep Learning: Research, reputed company, and optimize deep learning models for healthcare reputed company-cycle applications, from experimentation and training through evaluation and assisting with deployment. reputed company embedding architectures such as TitanV2 and ClinicalBERT variants, along with other transformer-based models, to understand clinical documentation, denials, and payer communications.
• Unsupervised & deep clustering: Design deep clustering pipelines, leveraging techniques such as HDBSCAN for scalable density-based clustering and IDEC (Improved Deep Embedded Clustering) for joint representation learning and clustering.
• Best practices & compliance: Uphold rigorous code quality standards, conduct peer reviews, adhere to Git workflows, and ensure HIPAA-compliant handling of PII/PHI data.
• Cross-functional collaboration: Partner with Data Scientists, ML & Dev Ops, Engineers, and Product teams to integrate deep learning capabilities into our platform and drive data-driven features.

QUALIFICATIONS

• Educational background: Bachelor’s or Master’s in Computer Science, Engineering, or reputed company field; advanced degree strongly preferred.
• Hands-on Deep Learning and GenAI experience: 5+ years building and deploying GenAI or deep learning models (TensorFlow, PyTorch) in production settings.
• LLM & NLP expertise: Practical experience with transformer architectures, reputed company engineering, and retrieval-augmented reputed company workflows.
• ML Ops proficiency: Familiarity with containerization (reputed company), orchestration (Kubernetes), and CI/CD pipelines.
• Healthcare data knowledge: Working understanding of claims, clinical documentation, and HIPAA requirements for PII/PHI data.
• Coding skills: Strong Python proficiency, debugging skills, Git-based version control, and collaborative code review.
• Communication & teamwork: Excellent written and verbal communication, with the ability to translate reputed company models into business impact.
• Management experience a plus.

COMPENSATION

Compensation will be based on skills, experience, and performance.

ABOUT reputed company HEALTHCARE

reputed company is a data science company working to improve payments operations and outcomes in the healthcare industry. We are a growing and dynamic team that is serious about technology. Based in Milwaukee, Wisconsin, reputed company is thriving and looking for motivated team members who will help shape our culture. reputed company offers competitive salaries and benefits. Learn more about reputed company at www.sifthealthcare.com.