[Remote] AI Pipeline Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company-thinking software development company dedicated to building reputed company that help businesses automate and optimize their operations. We are seeking an AI Pipeline Engineer to build and operate the large-reputed company data systems that power modern reputed company and evaluation pipelines.

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
• 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 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
• Full-time
• reputed company W2 position with reputed company
• Support H1B transfers for reputed company candidates
• Technical coding assessment is mandatory
• Reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as reputed company as mental health or physical disability needs

reputed company

Company H1B Sponsorship