{"schemaVersion":"jobsearcher.job.v1","id":"07e55808ed6f1cc2e64c3337","url":"https://jobsearcher.com/jobs/07e55808ed6f1cc2e64c3337","canonicalUrl":"https://jobsearcher.com/jobs/07e55808ed6f1cc2e64c3337","title":"(Data & ML Platform) - Technical Interviewer","description":"Technical Interviewer OpportunityIntetics 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 OverviewThe 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 RequiredData & ML Platform ArchitectureExperience 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 PipelinesStrong familiarity with DICOM, PACS workflows, and tools such as Orthanc.Ability to assess ingestion and QC strategies for:CT imagingVideo and C-Arm dataRadiology reportsUnderstanding of data validation, normalization, and failure handling in clinical pipelines.Distributed Processing & AWSHands-on experience with AWS Batch, preferably with Spot instances.Ability to evaluate candidate knowledge of:Job orchestrationCost-aware scalingIdempotency and retriesLarge-scale batch QC and inference workloadsGeneral AWS proficiency (S3, IAM, networking concepts).Dataset Versioning & Experiment TrackingPractical experience with ClearML or comparable tools.Ability to assess:Dataset lineage and provenanceExperiment reproducibilityArtifact and metric trackingUnderstanding of how these capabilities support regulatory audits.Training Data Access & Storage OptimizationExperience with Lance or equivalent high-performance data access layers.Ability to evaluate candidate approaches to:Fast data loading for trainingIncremental dataset updatesDecoupling raw media from derived dataMetadata, Labels & SearchStrong 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 WorkflowsExperience integrating labeling platforms (Encord preferred).Ability to evaluate candidate understanding of:RBAC and access controlQC and review workflowsAudit trailsAlgorithmic label ingestion and updatesRegulated Environments & ComplianceSolid understanding of 21 CFR Part 11 expectations:Access controlAudit trailsWORM storageData provenanceExperience working with HIPAA/PHI-regulated data.Ability to identify compliance gaps in proposed architectures.Interview ResponsibilitiesThe 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 knowledgeTrade-off awarenessRisk identification and mitigationReview take-home tasks or architectural diagrams if applicable.Provide clear, structured written feedback with a hire/no-hire recommendation.Ideal Background of the ExpertSenior/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.","company":"Intetics","rawCompany":"intetics","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-30T11:37:36.648Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"(Data & ML Platform) - Technical Interviewer","description":"Technical Interviewer OpportunityIntetics 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 OverviewThe 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 RequiredData & ML Platform ArchitectureExperience 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 PipelinesStrong familiarity with DICOM, PACS workflows, and tools such as Orthanc.Ability to assess ingestion and QC strategies for:CT imagingVideo and C-Arm dataRadiology reportsUnderstanding of data validation, normalization, and failure handling in clinical pipelines.Distributed Processing & AWSHands-on experience with AWS Batch, preferably with Spot instances.Ability to evaluate candidate knowledge of:Job orchestrationCost-aware scalingIdempotency and retriesLarge-scale batch QC and inference workloadsGeneral AWS proficiency (S3, IAM, networking concepts).Dataset Versioning & Experiment TrackingPractical experience with ClearML or comparable tools.Ability to assess:Dataset lineage and provenanceExperiment reproducibilityArtifact and metric trackingUnderstanding of how these capabilities support regulatory audits.Training Data Access & Storage OptimizationExperience with Lance or equivalent high-performance data access layers.Ability to evaluate candidate approaches to:Fast data loading for trainingIncremental dataset updatesDecoupling raw media from derived dataMetadata, Labels & SearchStrong 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 WorkflowsExperience integrating labeling platforms (Encord preferred).Ability to evaluate candidate understanding of:RBAC and access controlQC and review workflowsAudit trailsAlgorithmic label ingestion and updatesRegulated Environments & ComplianceSolid understanding of 21 CFR Part 11 expectations:Access controlAudit trailsWORM storageData provenanceExperience working with HIPAA/PHI-regulated data.Ability to identify compliance gaps in proposed architectures.Interview ResponsibilitiesThe 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 knowledgeTrade-off awarenessRisk identification and mitigationReview take-home tasks or architectural diagrams if applicable.Provide clear, structured written feedback with a hire/no-hire recommendation.Ideal Background of the ExpertSenior/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.","datePosted":"2026-08-30T11:37:36.648Z","dateModified":"2026-08-30T11:37:36.648Z","hiringOrganization":{"@type":"Organization","name":"Intetics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07e55808ed6f1cc2e64c3337"},"url":"https://jobsearcher.com/jobs/07e55808ed6f1cc2e64c3337"}}