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

Jobright.ai; Portland (OR); Remote; USD 150,000 - 170,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A career platform company is looking for a mid-level Data Engineer & AI/ML Specialist to develop AI-powered healthcare solutions. Responsibilities include designing data pipelines and AI integrations, ensuring HIPAA compliance, and collaborating within cross-functional teams. Candidates should have strong Python skills and experience with OCR and healthcare data.

Qualifications

• Hands-on experience with OCR and unstructured data processing.
• Ability to deliver end-to-end solutions from data ingestion to model integration.
• Strong documentation and knowledge transfer skills.

Responsibilities

• Design and optimize OCR and data extraction pipelines.
• Develop data transformation processes for Azure SQL schema.
• Implement predictive analytics models for healthcare.

Skills

OCR experience (Azure Form Recognizer)

Strong Python skills

Integration of LLMs with RAG

Knowledge of predictive modeling

Proficiency with REST APIs

Understanding of HIPAA compliance

Familiarity with healthcare data formats

Agile development experience

Tools

Azure SQL

Azure Data Lake Storage

Azure DevOps

Azure AI Search

Azure Machine Learning

Job description

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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

• Employment type

  Contract

Job function

• Industries

  Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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