AI Pipeline Engineer

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement.
• Build ingestion systems for text, image, audio, video, and structured data.
• Implement data cleaning, deduplication, filtering, quality assurance, versioning, lineage, and provenance tracking at petabyte scale.
• Develop high-throughput data loading, storage, caching, compression, and format strategies to improve training performance and GPU utilization.
• Build labeling, active learning, human-in-the-loop, and evaluation dataset pipelines with integrity and contamination controls.
• Implement privacy, redaction, consent, observability, and operational documentation across AI data systems while collaborating with ML researchers and engineers.

Requirements

• Must be based in the United States and eligible to work there.
• Bachelor’s or Master’s degree in Computer Science or a related field.
• 6+ years of data engineering experience, including significant work supporting ML or AI workloads.
• Strong Python proficiency and experience with at least one JVM or systems language.
• Deep experience with Spark, Ray, or Beam and hands-on operation of petabyte-scale storage and pipeline systems.
• Strong understanding of distributed systems, data modeling, storage formats, ML dataset reproducibility, testing, CI/CD, code review, and cross-functional collaboration.

Nice to have

• Experience with large-scale multimodal datasets and frontier model training pipelines.
• 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.

Culture & Benefits

• Full-time direct W-2 employment.
• Career growth opportunities within an established technology organization.
• Collaboration with ML researchers and engineers on modern AI infrastructure.
• New H-1B visa petitions are not sponsored; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates may apply.