100% Remote: AI/ML Engineer - 6+ Month Contract
Posted 1 day ago by 1759833939
Negotiable
Outside
Remote
USA
Summary: The AI/ML Engineer position at Dexperts Inc. is a remote role focused on developing and implementing AI and machine learning systems within healthcare, specifically utilizing Epic EHR systems. The candidate will collaborate with clinicians and engineers to design solutions that enhance patient safety and operational efficiency. This role requires extensive experience in AI/ML engineering and healthcare data systems, particularly with Epic EHR. The contract duration is for 6+ months, emphasizing a strong technical contribution to production systems.
Key Responsibilities:
- Design, build, and deliver production AI/ML systems for healthcare applications.
- Collaborate with clinicians and analysts to gather requirements and translate them into technical solutions.
- Develop analytics and ML systems focused on patient safety and quality metrics.
- Work with Epic EHR data, including Caboodle and Clarity schemas, to manage healthcare data.
- Implement containerized deployments and CI/CD practices for ML applications.
- Partner with enterprise architects to integrate AI components into existing platforms.
- Produce audit-ready documentation and ensure compliance with healthcare standards.
Key Skills:
- 8-10+ years of experience in AI/ML engineering and data systems.
- 3-5+ years of experience with Epic EHR (Caboodle/Clarity) and healthcare data.
- Proficiency in Python and SQL, with experience in Snowflake/Snowpark.
- Strong understanding of data architecture and medallion architecture.
- Experience with containerization (Docker) and CI/CD processes.
- Ability to work collaboratively in a team environment and communicate effectively.
- Knowledge of HIPAA compliance and enterprise-grade security practices.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Hello,
This is Rohit Singh from Dexperts Inc. I hope you re doing great. I have an urgent requirement with one of our clients for an AI/ML Engineer Position. Please go through with the below requirement and revert to me with your updated resume.
Job Details:
Job Title: AI/ML Engineer
Location: 100% Remote
Duration: 6+ Month Contract
Must have strong: Epic EHR(Electronic Healthcare Records) experience working with Clarity or Caboodle.
Profile:
- 8 10+ years in AI/ML engineering and data systems
- 3 5+ years with Epic EHR (Caboodle/Clarity) and healthcare data (registries, NHSN, HIPAA)
- Strong individual technical contributor designs, builds, and delivers production systems end-to-end
- Works with clinicians, abstractors, and analysts to elucidate requirements and translate into technical solutions
- Collaborates with a team of engineers shares design, reviews code, and ensures engineering best practices
Category:
- Healthcare Improvement Systems
- Epic EHR & Data Mastery
- AI-Enriched Data Signals
- Generative AI/ML Solutions
- Core ML & Data Engineering
- Deployment & Ops (with SSO)
- Architecture Alignment
- Collaboration & Communication
Expectations:
- Build analytics & ML systems for patient safety/quality: USNWR metrics, HACs (CLABSI, SSI, VAE, CAUTI), discharge prediction, benchmarking
- Deep knowledge of Epic Caboodle & Clarity schemas; source, transform, validate encounters, procedures, notes
- Design systems to enrich data within a medallion architecture
- Design RAG pipelines, agentic patterns, context engineering; build reasoning-aware QA and decision-support apps
- Advanced Python/SQL; Snowflake/Snowpark pipelines; feature stores; model training & evaluation (XGBoost, time-series, explainability)
- Containerized deployments (Docker, SPCS); MLflow registry; CI/CD; observability; SSO integration (OIDC/SAML, Epic SMART on FHIR)
- Work with enterprise architects to position AI components in platform rails (Snowflake, Epic Nebula, microservices, API gateways)
- Partner with clinicians, abstractors, and stakeholders; elucidate requirements; produce audit-ready documentation; work closely with a team of engineers to design, review, and deliver solutions
Why It Matters:
- Direct impact on USNWR performance, infection prevention, operational efficiency
- Ensures correctness of abstraction and adherence to NHSN/USNWR definitions
- Evidence extraction, signal processing, and enabling follow-ups when clinicians interact with LLM-based applications
- Supports abstraction assistants and evaluation harnesses
- Provides the foundation for scalable AI/ML pipelines
- Enterprise-grade security, smooth IdP integration, HIPAA compliance
- Ensures AI apps fit enterprise patterns, scale correctly, and avoid silos
- Builds trust with SMEs, ensures compliance-ready outputs, and promotes engineering consistency, knowledge-sharing, and resilience within the team