We are looking for Senior MLOps specialist. It will be full-time for about 3 months. We are flexible on location and rate for the right person.
Mission
Key responsibilities
Implement ingestion + QC automation starting with CT DICOM, expanding to video/C-Arm and radiology reports.
Implement/operate distributed processing on AWS Batch (Spot) for large-scale QC + predictions + 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/predictions independent of raw media (optional search via OpenSearch/text+vector).
Integrate/operate labeling workflows (Encord preferred; alternatives acceptable), incl. RBAC/QC/audit trail + 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.
Requirements
Python, AWS (S3, AWS Batch, EC2 Spot), Kubernetes, HPA, Karpenter, Networking (VPC, VPN UiFI), Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, FFmpeg
Knowledge: 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.
Benefits
Intetics Inc. is a global technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and comprehensive digital solutions. The company serves clients worldwide with a focus on delivering high-quality software services and innovative technology solutions. They operate a distributed team model, enabling them to provide professional expertise across multiple domains including infrastructure automation, cloud services, and editorial/content services for international platforms.
