(Data & ML Platform) - Technical Interviewer

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 operatinglarge-scale data / ML platforms, ideally inmedical imaging or regulated environments.
They must be able to evaluate bothimplementation-level skills andsystem-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 spanningon-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 areFDA-ready by design, not retrofitted.

Medical Imaging & Ingestion Pipelines

• Strong familiarity withDICOM, PACS workflows, and tools such asOrthanc.
• 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 withAWS Batch, preferably withSpot 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 withClearML 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 withLance 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 ofPostgreSQL-based services for metadata, labels, and predictions.
• Ability to assess database schema design for traceability and auditability.
• Familiarity withOpenSearch (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 of21 CFR Part 11 expectations:
• • Access control
  • Audit trails
  • WORM storage
  • Data provenance
• Experience working withHIPAA / PHI-regulated data.
• Ability to identify compliance gaps in proposed architectures.

Interview Responsibilities

The technical expert will be expected to:

• Participate intechnical interviews (system design + deep dive).
• Askscenario-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.
• Provideclear, 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 inhealthcare, medical imaging, or regulated ML systems is strongly preferred.
• Comfortable challenging candidates and defending technical decisions in front of stakeholders.