Sr. AI/ML Engineer

DOMA Technologies; Virginia Beach (VA); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

Commence seeks a Senior AI/ML Engineer to design, build, and productionize scalable ML systems powering healthcare data products. You will work with Data Scientists and Engineers to deliver production-grade pipelines, LLMs, and retrieval-augmented generation within a compliant environment.

The ideal candidate has strong data science and MLOps experience, comfortable with EHR/claims data, and a track record deploying AI at scale with HIPAA and FedRAMP considerations.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
• 6+ years of experience in ML engineering or software engineering.
• Strong Python and SQL; production-grade systems experience.
• Experience deploying ML models in production environments.
• Experience with AWS Bedrock, LangChain, Databricks or similar.
• Experience with distributed data processing (PySpark/EMR).
• Experience building APIs/services for model inference.

Responsabilités

• Design, build, and maintain end-to-end ML pipelines (data ingestion, feature engineering, model training, validation, deployment, monitoring).
• Productionize ML models into scalable APIs, batch, and streaming workflows.
• Develop AI/LLM-driven workflows (document extraction, classification, summarization) and RAG pipelines.
• Establish CI/CD, model versioning, lineage tracking, and automated retraining workflows.
• Integrate AI/ML systems with Databricks and AWS services (S3, Lambda, Bedrock).
• Optimize model inference performance, latency, throughput, and cost across production systems.
• Design monitoring, alerting, and observability for deployed AI systems.
• Collaborate with Data Engineers, Data Scientists, and Software Engineers on system requirements.
• Ensure AI/ML systems comply with HIPAA, 42 CFR Part 2, FedRAMP Moderate.
• Mentor junior/mid-level engineers in ML engineering and production best practices.

Connaissances

Python/SQL

Production-grade systems

MLOps

Healthcare data handling

LLMs/AI models

API development

Formation

Bachelor's degree in CS/Engineering

Master's degree preferred

Outils

AWS Bedrock

Databricks

LangChain

PySpark

MLflow

Kubernetes

Description du poste

Description

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care.

With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.

Requirements

The Senior AI/ML Engineer is responsible for designing, building, and operationalizing scalable machine learning and AI systems that power clinical and operational data products across the healthcare ecosystem. This role focuses on productionizing AI/ML capabilities, including large language models (LLMs), document processing pipelines, and predictive systems within a secure and compliant environment.

The Senior AI/ML Engineer lives in the Data & Analytics team and partners closely with Data Scientists, Data Engineers, and Product teams to transform models and prototypes into reliable, performant, and production-grade systems. The ideal candidate has strong data science and MLOps experience, is comfortable working with complex healthcare datasets (EHRs, claims, FHIR), and can build scalable AI solutions that meet regulatory and operational requirements.

• Design, build, and maintain end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, validation, deployment, and monitoring.
• Productionize machine learning and AI models developed by Data Scientists into scalable APIs, batch, and streaming workflows.
• Develop and optimize AI/LLM-driven workflows (e.g., document extraction, classification, summarization) using modern frameworks and orchestration patterns.
• Implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector-based retrieval systems.
• Establish and maintain MLOps practices, including CI/CD pipelines, model versioning, lineage tracking, and automated retraining workflows.
• Integrate AI/ML systems within Databricks (Workflows, Delta Lake, Unity Catalog) and AWS services (S3, Lambda, Bedrock).
• Optimize model inference performance, latency, throughput, and cost efficiency across production systems.
• Design and implement monitoring, alerting, and observability frameworks for deployed AI/ML systems.
• Collaborate with Data Engineers, Data Scientists, and Software Engineers to define system requirements and deliver scalable AI solutions.
• Ensure AI/ML systems comply with HIPAA, 42 CFR Part 2, FedRAMP Moderate, and other applicable regulatory frameworks.
• Implement secure data handling practices, including encryption, access controls, and protection of sensitive healthcare data.
• Evaluate and adopt emerging AI/ML technologies, tools, and frameworks to improve system capabilities and performance.
• Mentor junior and mid-level engineers in best practices related to ML engineering, system design, and production AI systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• 6+ years of experience in machine learning engineering, software engineering, or related roles.
• Strong proficiency in programming languages such as Python and SQL, with experience building production-grade systems.
• Demonstrated experience deploying and managing machine learning models in production environments.
• Experience implementing AI/LLM solutions using platforms such as AWS Bedrock, Anthropic, LangChain, Databricks Agent frameworks, or similar.
• Experience with distributed data processing frameworks such as PySpark, Databricks, or AWS EMR.
• Experience with ML lifecycle tools such as MLflow, model registries, and monitoring frameworks.
• Experience building APIs or services (e.g., FastAPI, Flask) for model inference.
• Strong understanding of software engineering principles, system design, and scalable architecture.
• Experience working with healthcare datasets such as EHRs, claims, FHIR, or HL7.
• Strong problem-solving skills and attention to detail.
• Strong communication and collaboration skills across technical and non-technical teams.

Preferred Requirements

• Experience with vector databases, embeddings, and RAG architectures.
• Experience with OCR/document AI tools (e.g., AWS Textract, DBX OCR).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with healthcare data governance and security frameworks such as NIST or HITRUST.
• Experience supporting federal healthcare programs or agencies such as CMS, VA, or DoD.
• Knowledge of healthcare delivery systems, quality measurement programs, or policy frameworks.

Work Environment/Physical Demands

The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is an office/remote position. While performing the duties of this job, the employee regularly works in a climate-controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch.

Commence is an equal employment opportunity for employer. All personnel processes are merit-based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law.

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at [phone] or [e-mail]. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.