(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.

Originally posted on Himalayas