AI Operations Engineer

About This Opportunity

We are representing a confidential technology consulting organization seeking an AI Operations Engineer to join their remote team. This is a full-time, direct W2 position based anywhere in the United States.

Our client is building and scaling the large-scale data infrastructure that powers modern AI training and evaluation pipelines. You'll work at the intersection of data engineering and AI operations, focusing on ingestion, transformation, quality assurance, and high-throughput delivery of data across diverse modalities. This role offers significant exposure to petabyte-scale systems and frontier AI workloads.

Responsibilities

• Build and operate large-scale data systems supporting AI training and evaluation pipelines
• Design and implement data ingestion, transformation, and quality assurance processes for multi-modal datasets
• Manage petabyte-scale storage and pipeline systems with focus on reliability and performance
• Ensure dataset versioning, lineage tracking, and reproducibility for machine learning workflows
• Optimize high-throughput data loading for accelerator-based training environments
• Collaborate cross-functionally to understand how infrastructure decisions impact model quality and training efficiency
• Maintain strong software engineering practices including testing, CI/CD, and code review processes
• Monitor and improve data quality tooling and evaluation methodologies

What We're Looking For

Required Qualifications:

• 6+ years of data engineering experience with significant exposure to ML or AI workloads
• Strong proficiency in Python and at least one JVM or systems language
• Deep hands-on experience with modern data processing frameworks such as Spark, Ray, or Beam
• Proven track record 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
• Excellent communication and collaboration skills across technical teams

Preferred Qualifications:

• Experience with multimodal datasets at large scale
• Background in 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

Visa Status: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. New H-1B sponsorship is not available for this position.

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your background and schedule an initial screening call to discuss your experience and career goals. If there's a strong mutual fit, we'll submit your profile to our client for consideration and guide you through their interview process. Please apply only through Get A Job.ai—do not contact the client directly, as we are managing this search exclusively.

Pay

Pay via Get A Job.ai: $150,000–$165,000 annually

Equal Employment Opportunity: Get A Job.ai is committed to equal employment opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.