Note: The job is a remote job and is open to candidates in USA. Commence is hiring a Senior AI/ML Engineer to build and operationalize scalable machine learning and AI systems for clinical and operational data products. The role productionizes AI/ML models, develops LLM and document-processing workflows, and ensures systems are reliable, secure, and compliant in healthcare environments.

Responsibilities

• 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

Skills

• Bachelor's degree in Computer Science, Engineering, or a related field
• 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
• Master's degree
• 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

Benefits

• This is an office/remote position.

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