ML Data Engineer

Bright Vision Technologies • Tampa, FL

3d • $100,000 - $150,000 • Remote

About The Position

Bright Vision Technologies is seeking an ML Data Engineer to build and operate large-scale data systems powering AI training and evaluation pipelines. The role combines data engineering expertise with an understanding of AI workloads, and focuses on ingestion, transformation, quality assurance, lineage, and high-throughput data delivery to training jobs across diverse modalities. The ideal candidate has operated petabyte-scale data systems, has strong software engineering fundamentals, and understands how data infrastructure choices affect model quality and training efficiency.

This is a full-time, direct W2 position that is 100% remote within the United States, with an annual salary range of $100,000–$150,000. Candidates who are U.S. citizens, Green Card holders, EAD holders, or seeking an H-1B transfer are encouraged to apply; the company cannot sponsor new H-1B visa petitions.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field.
• At least 6 years of data engineering experience, including 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.

Nice To Haves

• 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.

Responsibilities

• Build and operate large-scale data systems for AI training and evaluation pipelines.
• Support data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse modalities.
• Operate petabyte-scale data systems and pipelines.
• Support machine learning workflows through dataset versioning, lineage, and reproducibility.
• Enable high-throughput data loading for accelerator-based training.
• Apply strong software engineering practices, including testing, CI/CD, and code review.
• Collaborate and communicate effectively across functions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level