Technical Interviewer – Data & ML Platform

This is a fully remote position, open to applicants in Ukraine.

📋 Description

• Engage in technical interviews, focusing on system design and detailed discussions.

• Pose scenario-based inquiries that target real-world production and regulatory challenges.

• Assess candidate responses to distinguish between practical experience and theoretical understanding.

• Examine take-home assignments or architectural diagrams when relevant.

• Deliver concise, structured written feedback along with a recommendation for hire or no-hire.

⛳️ Requirements

• Proven experience in designing and managing large-scale data and machine learning platforms.

• Ability to evaluate implementation-level expertise and system-level decision-making capabilities.

• Experience with comprehensive data platforms that integrate on-premises infrastructure and AWS.

• Analyze architectural choices for scalability, fault tolerance, cost efficiency, and data lineage.

• Design systems with FDA compliance in mind from the outset.

• Knowledge of DICOM, PACS workflows, and familiarity with tools such as Orthanc.

• Evaluate ingestion and quality control strategies for CT imaging, video, C-Arm data, and radiology reports.

• Understanding of data validation, normalization, and failure management within clinical pipelines.

• Hands-on experience with AWS Batch, particularly with Spot instances.

• Assess knowledge of job orchestration, cost-aware scaling, idempotency, retries, and large-scale batch quality control.

• General proficiency in AWS services including S3, IAM, and networking.

• Practical experience with ClearML or similar tools.

• Understanding of dataset lineage, provenance, experiment reproducibility, and artifact tracking.

• Experience with Lance or comparable high-performance data access layers.

• Evaluate rapid data loading for training, incremental dataset updates, and the separation of raw media.

• Strong grasp of PostgreSQL services concerning metadata, labels, and predictions.

• Assess database schema design for traceability and auditability.

• Familiarity with OpenSearch, both text and vector capabilities.

• Experience integrating labeling platforms, with a preference for Encord.

• Evaluate understanding of role-based access control (RBAC), access management, quality control workflows, audit trails, and label ingestion.

• Solid understanding of the expectations outlined in 21 CFR Part 11.

• Experience handling data regulated by HIPAA and PHI standards.

• Identify compliance deficiencies in proposed architectures.

• Participate in technical interviews that emphasize real-world production and regulatory challenges.

• Ask scenario-based questions to gauge experience and awareness of risks.

• Review take-home assignments or architectural diagrams.

• Provide clear written feedback along with a recommendation for hire or no-hire.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and the possibility of remote work.

• Comprehensive health insurance and wellness programs.

• Collaborative and inclusive work environment.