(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.

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.

- 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.

- 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.

- 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).

- 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.

- 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

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- 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.

- 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

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- 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.

- 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.

- 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.