Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for Technical Interviewers.

Expert Profile Overview

The technical expert should have hands-on experience designing and operating large-scale data / ML platforms, ideally in medical imaging or regulated environments.
They must be able to evaluate both implementation-level skills and system-level decision-making, with a strong focus on traceability, compliance, and production readiness.

Areas of Expertise Required

Data & ML Platform Architecture

Experience building end-to-end data platforms spanning on-prem infrastructure and AWS.
Ability to assess architectural decisions related to scalability, fault tolerance, cost optimization, and data lineage.
Understanding of how to design systems that are FDA-ready by design, not retrofitted.

Medical Imaging & Ingestion Pipelines

Strong familiarity with DICOM, PACS workflows, and tools such as Orthanc.
Ability to assess ingestion and QC strategies for:

CT imaging
Video and C-Arm data
Radiology reports

Understanding of data validation, normalization, and failure handling in clinical pipelines.

Distributed Processing & AWS

Hands-on experience with AWS Batch, preferably with Spot instances.
Ability to evaluate candidate knowledge of:

Job orchestration
Cost-aware scaling
Idempotency and retries
Large-scale batch QC and inference workloads

General AWS proficiency (S3, IAM, networking concepts).

Dataset Versioning & Experiment Tracking

Practical experience with ClearML or comparable tools.
Ability to assess:

Dataset lineage and provenance
Experiment reproducibility
Artifact and metric tracking

Understanding of how these capabilities support regulatory audits.

Training Data Access & Storage Optimization

Experience with Lance or equivalent high-performance data access layers.
Ability to evaluate candidate approaches to:

Fast data loading for training
Incremental dataset updates
Decoupling raw media from derived data

Metadata, Labels & Search

Strong understanding of PostgreSQL-based services for metadata, labels, and predictions.
Ability to assess database schema design for traceability and auditability.
Familiarity with OpenSearch (text/vector) as a plus.

Labeling Workflows

Experience integrating labeling platforms (Encord preferred).
Ability to evaluate candidate understanding of:

RBAC and access control
QC and review workflows
Audit trails
Algorithmic label ingestion and updates

Regulated Environments & Compliance

Solid understanding of 21 CFR Part 11 expectations:

Access control
Audit trails
WORM storage
Data provenance

Experience working with HIPAA / PHI-regulated data.
Ability to identify compliance gaps in proposed architectures.

Interview Responsibilities

The technical expert will be expected to:

Participate in technical interviews (system design + deep dive).
Ask scenario-based questions focused on real production and regulatory challenges.
Evaluate candidate answers for:

Practical experience vs. theoretical knowledge
Trade-off awareness
Risk identification and mitigation

Review take-home tasks or architectural diagrams if applicable.
Provide clear, structured written feedback with a hire / no-hire recommendation.

Ideal Background of the Expert

Senior / Principal Data Engineer, ML Platform Engineer, or MLOps Engineer.
Prior experience in healthcare, medical imaging, or regulated ML systems is strongly preferred.
Comfortable challenging candidates and de

(Data & ML Platform) - Technical Interviewer at Intetics