AI/ML Engineer - WFH

About the Job
DOMA Technologies, LLC is advertising an AI/ML Engineer – Healthcare Data and Generative AI opportunity supporting Commence's data-centric healthcare transformation initiatives. This role focuses on building, training, validating, and deploying machine learning models that support clinical and operational data products across the healthcare ecosystem.
The successful candidate will contribute to production machine learning systems, AI-powered document processing, large language model (LLM) workflows, and retrieval-augmented generation (RAG) components. Working alongside senior engineers, data scientists, and software developers, you will help deliver reliable, secure, and compliant AI solutions using technologies such as Python, SQL, Databricks, and AWS.
This position is suited to an engineer with hands-on machine learning experience, familiarity with healthcare datasets, and the ability to independently manage well-defined development tasks while following established architecture and compliance standards.
About the Company
Commence focuses on data-driven healthcare transformation by combining technology, quality data, and clinical expertise. Its solutions aim to improve healthcare outcomes, operational efficiency, and the delivery of patient and program services.
The organization emphasizes human-centered solutions, clear communication, healthcare domain expertise, and responsible handling of sensitive information.
Key Responsibilities
Build, train, and validate machine learning models through data ingestion, feature engineering, and model evaluation.
Develop models according to requirements established by senior engineers and data scientists.
Help deploy machine learning and AI models into production through APIs, batch processing, and streaming workflows.
Support AI and LLM-powered workflows for document extraction, classification, summarization, and related use cases.
Assist in implementing RAG components, embedding strategies, and vector-based retrieval within established system architectures.
Apply MLOps practices, including CI/CD pipelines, model versioning, and retraining workflows.
Work with Databricks Workflows, Delta Lake, Unity Catalog, and AWS services such as S3, Lambda, and Bedrock.
Monitor deployed models for latency, throughput, accuracy drift, and other performance indicators.
Troubleshoot model and service issues, escalating architecture-level problems to senior engineers.
Maintain monitoring, alerting, and observability tools for assigned machine learning systems.
Collaborate with data engineers, data scientists, and software engineers to deliver components of larger AI/ML solutions.
Follow established compliance practices for HIPAA, 42 CFR Part 2, FedRAMP Moderate, and other applicable regulatory frameworks.
Implement secure data handling procedures, including encryption, access controls, and protection of sensitive healthcare information.
Evaluate emerging AI/ML tools and techniques and recommend relevant options to the team.
Document model development, testing, and validation activities to support reproducibility and audit readiness.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
3–5 years of experience in machine learning engineering, data science, or software engineering.
Strong proficiency in Python and SQL, including experience building production-grade systems.
Practical experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
Experience deploying machine learning models into production through batch processing or API-based services.
Exposure to AI and LLM platforms such as AWS Bedrock, Anthropic, LangChain, or Databricks Agent frameworks.
Familiarity with distributed data processing technologies such as PySpark, Databricks, or AWS EMR.
Experience with ML lifecycle tools such as MLflow, model registries, and monitoring frameworks.
Experience developing APIs or inference services using frameworks such as FastAPI or Flask.
Solid understanding of software engineering principles and their application to machine learning workflows.
Experience working with healthcare datasets, including electronic health records (EHRs), claims, FHIR, or HL7.
Strong analytical, problem-solving, and attention-to-detail skills.
Effective communication and collaboration skills across technical and non-technical teams.
Preferred Qualifications
Exposure to vector databases, embeddings, and RAG architectures.
Experience with optical character recognition (OCR) and document AI tools, such as AWS Textract or Databricks OCR.
Familiarity with containerization and orchestration technologies, including Docker and Kubernetes.
Knowledge of healthcare data governance and security frameworks, such as NIST or HITRUST.
Experience supporting federal healthcare programs or agencies, including CMS, VA, or DoD.
Understanding of healthcare delivery systems, quality measurement programs, and healthcare policy frameworks.
Technical Skills
Programming: Python, SQL.
Machine Learning: Scikit-learn, TensorFlow, PyTorch.
Generative AI: LLM workflows, AWS Bedrock, Anthropic, LangChain.
Data Engineering: PySpark, Databricks, AWS EMR.
Cloud Services: AWS S3, Lambda, Bedrock.
MLOps: MLflow, CI/CD, model versioning, monitoring, and retraining.
API Development: FastAPI, Flask, batch inference, and streaming workflows.
AI Applications: RAG, embeddings, vector retrieval, document extraction, classification, and summarization.
Healthcare Data: EHRs, claims, FHIR, and HL7.
Security and Compliance: HIPAA, 42 CFR Part 2, FedRAMP Moderate, NIST, and HITRUST.
Work Environment and Physical Requirements
Fully remote work arrangement.
Ability to sit, read, use a computer, and view a computer screen for extended periods.
Occasional requirements to stand, walk, use hands and fingers, kneel, or crouch.
Reasonable accommodations may be available to enable individuals with disabilities to perform the essential functions of the position.
Equal Employment Opportunity
Commence is an equal employment opportunity employer committed to merit-based hiring and employment practices. The company does not discriminate based on protected characteristics, including race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military or veteran status, or other characteristics protected by applicable law.
Work Schedule and Location
Job Title: AI/ML Engineer
Company Listed: DOMA Technologies, LLC
Organization Described: Commence
Location: Remote, United States
Work Arrangement: Fully remote
Experience Level: Mid-level
Required Experience: 3–5 years
Note: The supplied listing identifies DOMA Technologies, LLC in the job header but describes Commence throughout the job description. Candidates should confirm the hiring employer and application details before applying.