[Hiring] Senior MLOps specialist @Intetics

Role Description

We are looking for a Senior MLOps specialist. It will be full-time for about 3 months. We are flexible on location and rate for the right person.

Mission

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

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.

Qualifications

• Knowledge of medical imaging (CT, DICOM).
• Experience with data ingestion pipelines.
• Expertise in data quality (QC) automation.
• Familiarity with distributed data processing.
• Experience in experiment tracking and dataset versioning.
• Knowledge of metadata and label management.
• Understanding of clinical AI validation.
• Familiarity with 21 CFR Part 11 compliance.
• Knowledge of HIPAA/PHI handling.
• Experience with RBAC, audit trails, and WORM storage.
• Familiarity with vector search and media processing.
• Experience in annotation/labeling workflows.
• Understanding of provenance and data lineage.
• Experience with PACS integration and radiology workflows.

Requirements

• Proficient in Python.
• Experience with AWS (S3, AWS Batch, EC2 Spot).
• Familiarity with Kubernetes, HPA, and Karpenter.
• Knowledge of Networking (VPC, VPN UiFI).
• Experience with Trivy, Jenkins, PostgreSQL, DICOM, PACS, Orthanc, ClearML, Lance, Encord, OpenSearch, and FFmpeg.