Technical Interviewer for Data & ML Platform

About the role

Intetics is seeking experienced technical interviewers to assess candidates for large‑scale data and machine‑learning platform positions, especially in regulated medical‑imaging environments.

Key responsibilities

• Conduct system‑design and deep‑dive technical interviews focused on production and compliance challenges.
• Evaluate implementation skills, architectural decisions, and regulatory awareness.
• Review take‑home tasks or architectural diagrams and provide structured written feedback with hire recommendations.

Required profile

• Senior or principal‑level data engineer, ML platform engineer, or MLOps engineer.
• Hands‑on experience building end‑to‑end data platforms on‑premises and AWS.
• Background in healthcare, medical imaging, or other regulated ML systems is strongly preferred.

Required skills

• Data & ML platform architecture, scalability, fault tolerance, cost optimization, data lineage.
• DICOM, PACS workflows, Orthanc, CT imaging, video/C‑Arm data ingestion.
• AWS Batch (Spot), job orchestration, idempotency, large‑scale batch processing.
• ClearML or comparable experiment‑tracking tools.
• Lance or similar high‑performance data access layers.
• PostgreSQL schema design for metadata, auditability; familiarity with OpenSearch.
• Labeling platform integration (Encord preferred), RBAC, audit trails.
• Regulatory compliance knowledge: 21 CFR Part 11, HIPAA, WORM storage.