# (Data & ML Platform) - Technical Interviewer

> Intetics · Ukraine (Remote) · — · Posted 2026-01-29

**Workplace:** remote

## Description

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.

## Apply

[Apply at Intetics](https://apply.workable.com/intetics-2/j/DE48681D87/apply)

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