Data Engineer & AI/ML (Remote)

About the Role

Atmosera is seeking a **Data Engineer / AI/ML Specialist** to join its development team and help build a next-generation **AI-powered Electronic Health Record (EHR) MVP** for senior and assisted living facilities. This role will own the design and delivery of data pipelines, AI/ML integrations, and supporting infrastructure required to bring the MVP to life.

The position combines **data engineering, AI/ML, healthcare data, cloud technologies, and API integration**. The successful candidate will work in an Agile, cross-functional product environment and collaborate with solution architects and backend/API developers to deliver secure, scalable, HIPAA-compliant capabilities from data ingestion through model integration and API exposure.

Key Responsibilities

* Design, implement, and optimize **OCR and data extraction pipelines** for PDF referral forms and other healthcare documents.

* Develop data transformation and mapping processes to store extracted information in an **Azure SQL** schema.

* Build and maintain **Bronze/Silver/Gold medallion data architecture** in Azure Data Lake Storage for application workflows, analytics, and future model training.

* Implement and optimize search indexing using **Azure AI Search** for structured and unstructured data.

* Integrate **Azure OpenAI or equivalent LLM services** using **Retrieval-Augmented Generation (RAG)** patterns to support natural language query capabilities.

* Implement initial predictive analytics models for areas such as:

* Fall risk

* Infection risk

* Medication cost forecasting

* Use heuristics or lightweight machine learning models for initial predictive capabilities, with a path toward more advanced modeling.

* Develop an initial **compliance AI agent** that performs scheduled documentation checks and flags potential violations.

* Collaborate with the Solution Architect to ensure AI components are secure, **HIPAA-compliant**, and cost-optimized.

* Work in **Azure DevOps** using sprint-based development practices.

* Pair with backend and API developers on AI integration points.

* Participate in architecture and design reviews.

* Provide input on data model decisions.

* Document data pipelines, AI integrations, and data flows for future knowledge transfer to the client’s internal team.

* Support **User Acceptance Testing (UAT)** for AI and data features.

* Tune models and validate extracted data during testing and UAT.

Required Qualifications

* Hands-on experience with **OCR**, including **Azure Form Recognizer / Azure Document Intelligence**, and unstructured data processing.

* Strong **Python** skills for AI pipeline and data processing development.

* Experience integrating **Large Language Models (LLMs)**, including Azure OpenAI, with **RAG** patterns.

* Knowledge of basic predictive modeling techniques, including:

* Classification

* Regression

* Understanding of healthcare data compliance considerations.

* Proficiency with **REST APIs** for integrating external systems such as pharmacy and insurance systems.

* Understanding of **HIPAA compliance** and secure handling of **Protected Health Information (PHI)**.

* Familiarity with healthcare data formats and workflows, including:

* HL7

* FHIR

* eMAR

* Prior experience working in **Agile, cross-functional product teams**.

* Ability to deliver end-to-end solutions from **data ingestion to model integration to API exposure**.

* Strong documentation and knowledge-transfer skills.

Preferred Qualifications

* Experience in healthcare software development, including **EHR, EMR, or related healthcare technology**.

* Familiarity with **vector search** and **semantic search** concepts.

* Experience with **Azure Machine Learning** for model deployment.

* Background in predictive analytics for healthcare outcomes.

Skills & Technologies

* Data Engineering

* AI/ML

* Machine Learning

* Python

* OCR

* Azure Document Intelligence

* Azure Form Recognizer

* Azure Data Lake Storage

* Azure SQL

* Azure AI Search

* Azure OpenAI

* Large Language Models (LLMs)

* Retrieval-Augmented Generation (RAG)

* Predictive Analytics

* Classification

* Regression

* REST APIs

* Vector Search

* Semantic Search

* Azure Machine Learning

* Healthcare Data

* EHR / EMR

* HL7

* FHIR

* e…