Senior Artificial Intelligence Engineer

Title: Sr AI/ML Engineer Location: 100% remote Contract: 6-month contract with likely extension Start Date: 12/1 or earlier Key Responsibilities • Design and build scalable AI/ML solutions for healthcare data processing, predictive modeling, and analytics. • Develop and optimize data pipelines using Python, Spark, SQL, and Airflow to support advanced analytics and machine learning workloads. • Integrate and manage healthcare data leveraging FHIR and HL7 interoperability standards. • Collaborate cross-functionally with data scientists, product managers, and healthcare domain experts to translate requirements into production-grade solutions. • Implement best practices for MLOps, data quality, and automation within Databricks and Microsoft Azure environments. • Contribute to continuous improvement efforts by introducing new tools, frameworks, and automation to enhance development efficiency. Qualifications • 4+ years of professional experience in AI/ML software engineering or data engineering roles. • Healthcare industry experience required, with a strong understanding of healthcare data standards and compliance considerations (e.g., HIPAA). • Databricks and Microsoft Azure certifications (required). • Proficient in: • Python (data processing, ML frameworks, automation) • Apache Spark (distributed data processing) • SQL (data modeling, transformations, optimization) • Airflow (workflow orchestration and automation) • Deep understanding of FHIR and HL7 data integration. • Strong communication skills and comfort working in a collaborative, fast-paced, startup-like environment. Preferred Qualifications • Experience deploying ML models in production environments. • Familiarity with healthcare data warehouses, EHR systems, or interoperability platforms. • Exposure to MLOps tools such as MLflow, Azure ML, or Kubeflow.