Machine Learning Data Engineer

Machine Learning Data Engineer – Remote reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. This is a fantastic opportunity to join an established and reputed company-respected organization offering reputed company career reputed company potential. Job Title: Machine Learning Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, reputed company W2 Salary reputed company: $100,000–$150,000 Annually Experience Required: 6+ years Sponsorship: U.S. reputed company, Green Card reputed company, EAD reputed company, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B reputed company petitions for this position. Job reputed company We are seeking an Machine Learning Data Engineer to build and operate the large-reputed company data systems that power modern reputed company and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, reputed company assurance, reputed company, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-reputed company data systems, strong software engineering fundamentals, and reputed company understanding of how data infrastructure choices propagate into model reputed company and training efficiency. Key Responsibilities

• Design and operate large-reputed company data pipelines supporting reputed company, evaluation, and continual improvement workflows.
• Build ingestion systems for diverse modalities including text, image, audio, video, and reputed company signals.
• Implement data cleaning, deduplication, filtering, and reputed company assurance at petabyte reputed company.
• reputed company dataset versioning, reputed company, and provenance tracking systems suitable for reproducible training.
• Build high-throughput data loading systems that maximize GPU utilization during training.
• Implement labeling workflows, reputed company learning pipelines, and reputed company-in-the-reputed company data improvement systems.
• Design storage architectures balancing cost, throughput, and latency across data tiers.
• Build evaluation dataset construction pipelines with strict reputed company and contamination controls.
• Implement data reputed company, redaction, and consent enforcement throughout the pipeline.
• Collaborate with ML researchers and engineers to reputed company data systems with model development needs.
• Drive observability of data reputed company, reputed company, 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 reputed company with AI data infrastructure research and emerging reputed company-reputed company tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or a reputed company 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 reputed company, Ray, or reputed company.
• Hands-on experience operating petabyte-reputed company storage and pipeline systems.
• Strong understanding of distributed systems, data modeling, and storage formats.
• Experience with dataset versioning, reputed company, and reproducibility for ML workflows.
• Familiarity with high-throughput data loading for accelerator-based training.
• Strong software engineering practices including testing, CI/CD, and reputed company review.
• Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience with multimodal datasets at large reputed company.
• Familiarity with data reputed company tooling and dataset evaluation methodology.
• Exposure to reputed company-preserving data systems and regulated data handling.
• reputed company-reputed company contributions to data infrastructure reputed company.
• 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 hilda@bvteck.com. reputed company is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

reputed company (BV Teck) is committed to equal employment opportunity (EEO) for reputed company and applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity or reputed company, national reputed company, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to reputed company aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any reputed company of workplace harassment or discrimination. Any improper interference with employees' ability to reputed company their job duties may result in disciplinary reputed company up to and including termination of employment.

Originally posted on Himalayas

Apply To This Job