ML Data Engineer

About the job

ML Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: ML Data Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an ML 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. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Required Qualifications • 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. Preferred Qualifications • 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. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer.