Remote AI Data Pipeline Engineer

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

Job summary

Bright Vision Technologies is seeking an AI Pipeline Engineer to build and operate the large-scale data systems powering AI training and evaluation pipelines. The role blends deep data engineering with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.

The ideal candidate has experience operating petabyte-scale data systems, strong software engineering

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 6+ years of data engineering experience with ML/AI workloads.
• Strong Python and at least one JVM or systems language.
• Experience with Spark, Ray, or Beam and large-scale data pipelines.
• Experience with dataset versioning, lineage, and reproducibility for ML workflows.

Responsibilities

• Design and operate large-scale data pipelines for AI training and evaluation.
• Develop ingestion systems for text, image, audio, video, and structured data.
• Implement data cleaning, deduplication, and QA at petabyte scale.
• Build dataset versioning, lineage, and provenance tracking.
• Collaborate with ML researchers to align data systems with model needs.

Skills

Python

Cross-functional collaboration

Software engineering practices

Data engineering

Education

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

Tools

Spark

Ray

Beam

Job description

Bright Vision Technologies is seeking an AI Pipeline Engineer to build and operate the large-scale data systems powering AI training and evaluation pipelines. The role blends deep data engineering with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities.

The ideal candidate has experience operating petabyte-scale data systems, strong software engineering