[Remote] AI Data Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is seeking an AI Data Engineer to build and operate large-scale data systems for AI training and evaluation pipelines. The role focuses on data ingestion, transformation, quality assurance, lineage, and high-throughput data delivery across diverse modalities.

Responsibilities

• We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines
• The role combines deep data engineering expertise 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

Skills

• 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
• We are unable to sponsor new H-1B visa petitions for this position
• Experience with multimodal datasets at large scale
• Familiarity with data quality tooling and dataset evaluation methodology
• Exposure to privacy-preserving data systems and regulated data handling
• Open-source contributions to data infrastructure projects
• Experience supporting frontier model training pipelines

Benefits

• Tremendous career growth potential

Company Overview