AI Data Infrastructure Engineer

Bright Vision Technologies is a software development company seeking an AI Data Infrastructure Engineer to build and operate large-scale data systems for AI training and evaluation pipelines.

Requirements

• Design and operate large-scale data pipelines
• Build ingestion systems for diverse modalities
• Implement data cleaning, deduplication, filtering, and quality assurance
• Develop dataset versioning, lineage, and provenance tracking systems
• Build high-throughput data loading systems
• Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems
• Design storage architectures balancing cost, throughput, and latency
• Build evaluation dataset construction pipelines
• Implement data privacy, redaction, and consent enforcement
• Collaborate with ML researchers and engineers
• Drive observability of data quality, drift, and pipeline health
• Optimize cost and performance through compression, format selection, and caching strategies
• Document data systems, schemas, and operational procedures

Benefits

• Competitive base salary commensurate with experience
• Plus benefits