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
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Experience building end-to-end data platforms spanning on-prem infrastructure and AWS.
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Ability to assess architectural decisions related to scalability, fault tolerance, cost optimization, and data lineage.
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Understanding of how to design systems that are FDA-ready by design, not retrofitted.
Medical Imaging & Ingestion Pipelines
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Strong familiarity with DICOM, PACS workflows, and tools such as Orthanc.
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Ability to assess ingestion and QC strategies for:
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CT imaging
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Video and C-Arm data
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Radiology reports
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Understanding of data validation, normalization, and failure handling in clinical pipelines.
Distributed Processing & AWS
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Hands-on experience with AWS Batch, preferably with Spot instances.
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Ability to evaluate candidate knowledge of:
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Job orchestration
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Cost-aware scaling
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Idempotency and retries
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Large-scale batch QC and inference workloads
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General AWS proficiency (S3, IAM, networking concepts).
Dataset Versioning & Experiment Tracking
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Practical experience with ClearML or comparable tools.
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Ability to assess:
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Dataset lineage and provenance
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Experiment reproducibility
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Artifact and metric tracking
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Understanding of how these capabilities support regulatory audits.
Training Data Access & Storage Optimization
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Experience with Lance or equivalent high-performance data access layers.
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Ability to evaluate candidate approaches to:
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Fast data loading for training
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Incremental dataset updates
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Decoupling raw media from derived data
Metadata, Labels & Search
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Strong understanding of PostgreSQL-based services for metadata, labels, and predictions.
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Ability to assess database schema design for traceability and auditability.
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Familiarity with OpenSearch (text/vector) as a plus.