1037| Senior MLOps specialist (3 Month Project)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 15h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 61d ago
The date the source published, not the day we noticed it (2026-07-16). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Ukraine, Poland, Georgia, Armenia, Turkey, Romania
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 10d ago · last seen 3h ago
The listing
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
• 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.
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