[Remote] Machine Learning Data Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The Machine Learning Data Engineer will build and operate large-scale data systems that support AI training and evaluation pipelines, including data ingestion, transformation, quality assurance, lineage, and high-throughput delivery. The role also requires operating petabyte-scale data systems and applying strong software engineering practices to improve model quality and training efficiency.

Responsibilities

• Build and operate the large-scale data systems that power modern AI training and evaluation pipelines
• 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
• * 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

• 100% Remote (U.S.)
• Tremendous career growth potential

Company Overview