Sr AI Engineer - 2522

About this role

job summary:


As a Senior AI Engineer where you will design, implement, and productionize advanced AI solutions that improve clinical workflows, patient experience, and operational efficiency across the healthcare system. Working within an Agile team, you will translate clinical and business needs into robust machine learning and AI systems, own model lifecycle delivery, and partner with product, data engineering, SRE, and clinical SMEs. This role emphasizes engineering excellence, reproducible experiments, compliance with healthcare regulations, and mentoring junior engineers.


location: Telecommute


job type: Contract


salary: $65 - 80 per hour


work hours: 8am to 5pm


education: Bachelors


responsibilities:


Key Responsibilities:

• Design and develop production-grade ML/AI systems (classical ML, deep learning, LLM-based and RAG solutions) for healthcare use cases.
• Lead end-to-end model lifecycle: data ingestion, feature engineering, model training, validation, deployment, monitoring and continuous improvement.
• Work with data engineering to create robust, auditable, and HIPAA-compliant data pipelines and feature stores.
• Implement MLOps best practices-model versioning, CI/CD for models, automated training pipelines, canary/blue-green rollouts, and drift detection.
• Develop and execute model evaluation plans: performance, calibration, bias/fairness assessments, robustness, and clinical validation.
• Ensure model explainability and privacy-preserving practices where appropriate (differential privacy, secure inference patterns).
• Expose models through well-documented APIs and microservices, optimizing for latency, cost, and reliability.
• Collaborate with clinical SMEs and product teams to translate problems into technical requirements and measurable success metrics.
• Perform code and architecture reviews; mentor and coach engineers and contribute to hiring and technical roadmaps.
• Maintain reproducible experime...