Remote AI Data Pipeline Engineer for Petabyte-Scale ML

Bright Vision Technologies; Plymouth (MN); A distancia; USD 100.000 - 150.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data pipelines powering AI training and evaluation. You will build ingestion systems for multimodal data, ensure data quality at petabyte scale, and develop lineage and reproducibility tooling.

The role emphasizes strong Python and JVM language skills, distributed systems expertise, and collaboration with ML researchers to optimize data infrastructure for model development.

Formación

• Bachelor's or Master's degree in Computer Science or a related field.
• Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
• Strong proficiency in Python and at least one JVM or systems language.
• Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
• Hands-on experience operating petabyte-scale storage and pipeline systems.
• Strong understanding of distributed systems, data modeling, and storage formats.
• Experience with dataset versioning, lineage, and reproducibility for ML workflows.
• Familiarity with high-throughput data loading for accelerator-based training.
• Strong software engineering practices including testing, CI/CD, and code review.
• Excellent communication and cross-functional collaboration skills.

Responsabilidades

• 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.

Conocimientos

Python

Distributed systems

Data engineering

Educación

Bachelor's or Master's in Computer Science or related field

Herramientas

Spark

Ray

Beam

Petabyte-scale storage/pipeline systems

Descripción del empleo

Bright Vision Technologies is seeking an AI Pipeline Engineer to design and operate large-scale data pipelines powering AI training and evaluation. You will build ingestion systems for multimodal data, ensure data quality at petabyte scale, and develop lineage and reproducibility tooling.

The role emphasizes strong Python and JVM language skills, distributed systems expertise, and collaboration with ML researchers to optimize data infrastructure for model development.