(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 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.