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
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
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
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
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
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:
technical interviews
(system design + deep dive).
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 defending technical decisions in front of stakeholders.
