- Technical Interviewer

[Intetics](https://himalayas.app/companies/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](https://himalayas.app)