AI/ML Engineer - Remote Work

About the Company

Commence delivers data-driven solutions, technology, and clinical expertise to support better healthcare outcomes and more efficient healthcare processes. The company focuses on human-centered, healthcare-relevant, and value-based solutions that use data to improve care delivery and program performance.

About the Role

Commence is seeking an AI/ML Engineer to build, train, and validate machine learning models that support clinical and operational data products across the healthcare ecosystem. The role also involves contributing to the production deployment of models, supporting document processing pipelines, and developing AI/LLM-driven workflows.

The successful candidate will independently manage defined model development tasks while collaborating with senior engineers on broader system design, architecture, and compliance requirements.

Key Responsibilities

• Build, train, and validate machine learning models, including data ingestion, feature engineering, and model evaluation, based on requirements established by Senior Engineers or Data Scientists.
• Contribute to deploying machine learning and AI models into production through APIs, batch processing, and streaming workflows under the direction of Senior AI/ML Engineers.
• Support AI/LLM-driven workflows for document extraction, classification, and summarization using established frameworks and orchestration patterns.
• Assist in implementing Retrieval-Augmented Generation (RAG) components, embedding strategies, and vector-based retrieval within architectures designed by senior engineers.
• Apply established MLOps practices, including CI/CD pipelines, model versioning, and retraining workflows.
• Use Databricks tools, including Workflows, Delta Lake, and Unity Catalog, and AWS services such as S3, Lambda, and Bedrock for model training and inference.
• Monitor deployed model performance, including latency, throughput, and accuracy drift, and troubleshoot issues while escalating architecture-level concerns to Senior Engineers.
• Maintain existing monitoring, alerting, and observability tools for assigned models.
• Collaborate with Data Engineers, Data Scientists, and Software Engineers to deliver components of larger AI/ML systems.
• Follow established practices to maintain compliance 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 information.
• Stay informed about emerging AI/ML tools and techniques and bring relevant options to the team for evaluation.
• 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, with 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 environments through batch or API-based workflows.
• Exposure to AI/LLM platforms such as AWS Bedrock, Anthropic, LangChain, or Databricks Agent frameworks.
• Familiarity 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 for model inference using tools such as FastAPI or Flask.
• Solid understanding of software engineering principles and their application to ML workflows.
• 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 when working with technical and non-technical teams.

Preferred Qualifications

• Exposure to vector databases, embeddings, or RAG components.
• Experience with OCR and document AI tools such as AWS Textract or DBX OCR.
• Experience with containerization and orchestration tools such as Docker and 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 Arrangement and Physical Requirements

• Remote position.
• Work is regularly performed in a climate-controlled environment.
• Ability to sit, read, work on a computer, and view a computer screen for extended periods.
• Occasional standing, walking, and use of hands and fingers, as well as kneeling or crouching.
• Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions of the role.

Equal Employment Opportunity and Accommodations

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

Commence provides equal employment opportunities to all applicants, including individuals with disabilities. Applicants who require a reasonable accommodation during the application process may contact Human Resources at (757) 306-4920 or [email protected].

All applications must be submitted through the company's online application system unless an accommodation is being requested.