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 defending technical decisions in front of stakeholders.
