ML Data Engineer at Bright Vision Technologies | Findjobs | Findjobs
ML Data Engineer
Bright Vision Technologies
Location
🇺🇸 United States
Type
full_time
Salary
Undisclosed
Posted
1mo ago
Job Description
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.
Key Responsibilities
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows
Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals
Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale
Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training
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Build high-throughput data loading systems that maximize GPU utilization during training
Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems
Design storage architectures balancing cost, throughput, and latency across data tiers
Build evaluation dataset construction pipelines with strict integrity and contamination controls
Implement data privacy, redaction, and consent enforcement throughout the pipeline
Collaborate with ML researchers and engineers to align data systems with model development needs
Drive observability of data quality, drift, and pipeline health across the AI data estate
Optimize cost and performance through compression, format selection, and caching strategies
Document data systems, schemas, and operational procedures for broad internal use
Stay current with AI data infrastructure research and emerging open-source tools
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 boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR QlCVejcj4D