Senior MLOps Specialist (3-Month Project)

Stack

Responsibilities

• ▹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.
• ▹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.
• ▹Integrate and operate labeling workflows including RBAC, QC, audit trail, and algorithmic label ingestion.
• ▹Establish a governed clinical validation environment meeting 21 CFR Part 11 and HIPAA/PHI expectations.

Requirements

• ▹Python, AWS (S3, AWS Batch, EC2 Spot), Kubernetes, HPA, Karpenter.
• ▹Networking: VPC, VPN, WiFi.
• ▹Experience with Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, FFmpeg.
• ▹Knowledge of medical imaging (CT, DICOM) and data ingestion pipelines.
• ▹Experience with data quality automation and distributed data processing.
• ▹Experience with experiment tracking and dataset versioning.
• ▹Metadata and label management experience.
• ▹Clinical AI validation and 21 CFR Part 11 compliance knowledge.
• ▹HIPAA/PHI handling, RBAC, audit trails, and WORM storage knowledge.
• ▹Vector search, media processing, and annotation workflow experience.
• ▹PACS integration and radiology workflow knowledge.