1037| Senior MLOps specialist (3 Month Project)

Intetics; Turkey; Hybrid; TRY 4,199,435 - 8,398,871; Full time

Job summary

Intetics is seeking a Senior MLOps specialist for a 3-month, full-time engagement with location flexibility. You will build and run a scalable, FDA-ready data platform bridging on-prem DGX and AWS for our 2026 submission.

In this role you will implement ingestion + QC automation for CT DICOM, expand to radiology data, deploy distributed processing on AWS Batch, set up dataset versioning with ClearML, and enable secure labeling workflows with RBAC, provenance and audit trails to meet 21 CFR Part

Qualifications

• Experience with MLOps and ML pipelines.

Responsibilities

• Implement ingestion + QC automation for CT DICOM, expanding to radiology data.
• Deploy and operate distributed processing on AWS Batch (Spot).
• Deploy ClearML for dataset versioning and experiment tracking.
• Optimize training data access using Lance for fast loading.
• Build a PostgreSQL-backed enrichment service for metadata/labels/predictions.
• Integrate labeling workflows with RBAC/audit trails and provenance.
• Ensure compliance with 21 CFR Part 11 and HIPAA handling.

Skills

Python

AWS

Kubernetes

Data processing

Tools

AWS

S3

AWS Batch

EC2 Spot

Karpenter

VPC

VPN

PostgreSQL

DICOM

PACS

Orthanc

ClearML

Lance

Encord

OpenSearch

FFmpeg

Jenkins

Trivy

Job description

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.