Senior MLOps specialist; Project

We are looking for a Senior MLOps specialist. This is a full‑time, approximately three‑month engagement. We can be flexible on location and rate for the right candidate.

Build and run a scalable, traceable, FDA‑ready data platform bridging on‑prem DGX and AWS for our 2026 submission.

• Implement ingestion and QC automation starting with CT DICOM, expanding to video/C‑Arm and radiology reports.
• Implement and operate distributed processing on AWS Batch (Spot) for large‑scale QC, predictions, and derivatives.
• Deploy ClearML for dataset versioning, lineage, and experiment tracking (runs, metrics, artifacts; provenance).
• Optimize training data access using Lance (or equivalent) for fast loading and incremental updates.
• Build a PostgreSQL‑backed enrichment service for metadata, labels, and predictions independent of raw media (optional search via Open Search/text+vector).
• Integrate and operate labeling workflows (Encord preferred; alternatives acceptable), including RBAC, QC, audit trail, and algorithmic label ingestion.
• Establish a governed clinical validation environment meeting 21
  
  CFR Part
  11 expectations (access control, audit trail/WORM, provenance) and HIPAA/PHI handling.

Python, AWS (S3, AWS Batch, EC2 Spot), Kubernetes, HPA, Karpenter, Networking (VPC, VPNUiFI), Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, Open Search, FFmpeg.

• Medical imaging (CT, DICOM)
• Data ingestion pipelines
• Data quality (QC) automation
• Distributed data processing
• Experiment tracking and dataset versioning
• Metadata and label management
• Clinical AI validation
• 21
  
  CFR Part
  11 compliance
• HIPAA/PHI handling
• RBAC, audit trails, WORM storage
• Vector search
• Media processing
• Annotation/labeling workflows
• Provenance and data lineage
• PACS integration
• Radiology workflows