[Remote] AI Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. reputed company is seeking an AI Data Engineer to build and operate large-reputed company data systems supporting reputed company and evaluation pipelines, including multimodal data ingestion, transformation, reputed company assurance, reputed company, and high-throughput delivery. The role also involves designing reputed company storage and labeling systems, enforcing reputed company controls, and collaborating with ML teams to improve data reputed company and training efficiency.

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
• reputed company 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

Skills

• Bachelor's or Master's degree in Computer Science or a reputed company field
• Ten 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 reputed company 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
• 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

Benefits

• reputed company (U.S.)
• Full-time, reputed company W2
• reputed company career reputed company potential

reputed company