Remote AI Pipeline Engineer - Petabyte-Scale Data Systems

Bright Vision Technologies; Highlands Ranch (CO); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data systems powering AI training and evaluation pipelines. The role blends data engineering with AI workload awareness, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery.

You will collaborate with ML researchers and engineers to align data systems with model development needs, implement privacy controls, dataset versioning, and observability of data

Qualifications

• 6+ years of data engineering experience in ML/AI workloads.
• Proficiency in Python and at least one JVM or systems language.
• Experience with Spark, Ray, or Beam and petabyte-scale pipelines.

Responsibilities

• Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
• Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
• Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
• Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
• Build high-throughput data loading systems that maximize GPU utilization during training.
• Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
• Design storage architectures balancing cost, throughput, and latency across data tiers.
• Build evaluation dataset construction pipelines with strict integrity and contamination controls.
• Implement data privacy, redaction, and consent enforcement throughout the pipeline.
• Collaborate with ML researchers and engineers to align data systems with model development needs.
• Drive observability of data quality, drift, and pipeline health across the AI data estate.
• Optimize cost and performance through compression, format selection, and caching strategies.
• Document data systems, schemas, and operational procedures for broad internal use.
• Stay current with AI data infrastructure research and emerging open-source tools.

Skills

Python

CI/CD practices

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spark

Ray

Beam

Petabyte-scale storage systems

Job description

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data systems powering AI training and evaluation pipelines. The role blends data engineering with AI workload awareness, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery.

You will collaborate with ML researchers and engineers to align data systems with model development needs, implement privacy controls, dataset versioning, and observability of data