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About the role
Data Engineer / ML Engineer Pertinent Healthcare Business Solutions Position Summary : DentTracks is looking for a Data Engineer / ML Engineer to design secure data pipelines and deploy ML models for claims automation, eligibility checks, and Voice AI insights. The role combines HIPAA-compliant data engineering with ML deployment. Key Responsibilities: Build ETL/ELT pipelines for claims, eligibility data, and VoIP transcripts. Manage HIPAA-compliant data lakes/warehouses (S3, Glue, Lake Formation). Build and maintain data models in MongoDB Atlas and analytical stores (Redshift/Snowflake, optional). Develop & deploy ML models (Whisper, LLMs, anomaly detection). Containerize and scale models on GPU nodes (EC2 P5e/P5en). Work with DevOps to integrate models into EKS/Triton Inference Server pipelines. Collaborate on dashboards (claim denial patterns, A/R predictions). Qualifications: 4 6 years in Data or ML Engineering. Strong Python (Pandas, PyTorch, TensorFlow, Hugging Face). Experience with Airflow/Prefect/Dagster. Familiarity with HIPAA ML workflows & PHI handling. GPU deployment (NVIDIA Triton, Kubernetes, EC2 P). Solid SQL/NoSQL & ML monitoring knowledge. Apply today and help us shape the future of dental technology!
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