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Data Engineer & AI/ML Specialist, Mid Level (Remote)

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Data Engineer & AI/ML Specialist, Mid Level (Remote)

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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. They are seeking an experienced Data Engineer / AI/ML Specialist to join the development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. The role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure needed to bring the MVP to life. Responsibilities: • Design, implement, and optimize OCR and data extraction pipelines for ingesting PDF referral forms and other healthcare documents. • Develop data transformation and mapping processes to store extracted data into an Azure SQL schema. • Build and maintain the medallion data architecture (Bronze/Silver/Gold) in Azure Data Lake Storage to support both application workflows and future analytics/model training. • Implement and optimize search indexing (Azure AI Search) for both structured and unstructured data. • Integrate Azure OpenAI or equivalent LLM services with retrieval-augmented generation (RAG) to support a natural language query feature. • Implement initial predictive analytics models (fall risk, infection risk, medication cost forecasting) using heuristics or light ML models, with a path to more advanced modeling in Phase 2. • Develop a compliance AI agent (MVP version) that runs scheduled checks on documentation and flags potential violations. • Collaborate with the Solution Architect to ensure AI components are secure, HIPAA-compliant, and cost-optimized. • Work in Azure DevOps with sprint-based development, pairing with backend/API developers on AI integration points. • Participate in architecture/design reviews and provide input on data model decisions. • Document pipelines, AI integrations, and data flows for future handoff to the client’s internal team. • Support UAT for AI/data features, including tuning models and validating extracted data. Qualifications: Required: • Hands-on experience with OCR (Azure Form Recognizer / Azure Document Intelligence) and unstructured data processing. • Strong Python skills for AI pipeline and data processing development. • Experience integrating LLMs (Azure OpenAI) with RAG patterns. • Knowledge of basic predictive modeling techniques (classification, regression) and healthcare data compliance considerations. • Proficiency with REST APIs for integrating external systems (e.g., pharmacy, insurance). • Understanding of HIPAA compliance and secure handling of PHI. • Familiarity with healthcare data formats and workflows (HL7, FHIR, eMAR). • Prior experience working in agile, cross-functional product teams. • Ability to deliver end-to-end—from data ingestion to model integration to API exposure. • Strong documentation and knowledge transfer skills. Preferred: • Experience in healthcare software development (EHR, EMR, or related domains). • Familiarity with vector search and semantic search concepts. • Experience with Azure Machine Learning for model deployment. • Background in predictive analytics for healthcare outcomes. Company: Atmosera help clients to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Founded in 1995, headquartered in Beaverton, Oregon, USA, team size 51-200 employees, currently Growth Stage. Seniority level

Seniority level Mid-Senior level Employment type

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