Remote AI Data Operations Engineer

Bright Vision Technologies; United States; Remote; USD 150,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Operations Engineer to build and operate large-scale data systems powering AI training pipelines. You will own ingestion, transformation, quality, lineage, and delivery of data to training jobs across modalities, with focus on petabyte-scale data infrastructure and reliable software engineering.

The role requires 6+ years in data engineering, strong Python, and at least one JVM language, plus experience with Spark/Ray/Beam, distributed systems, and

Qualifications

• 6+ years of data engineering experience supporting ML/AI workloads.
• Strong Python and at least one JVM or systems language.
• Experience with Spark, Ray, or Beam.
• Experience operating petabyte-scale data systems.
• Understanding of distributed systems, data modeling, and storage formats.
• Experience with dataset versioning, lineage, and reproducibility for ML workflows.
• Experience with high-throughput data loading for accelerator-based training.
• Software engineering practices including testing, CI/CD, and code review.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Build and operate large-scale data systems powering AI training pipelines.
• Manage ingestion, transformation, quality, lineage, and data delivery to training jobs.
• Collaborate across teams to optimize data workflows and model training efficiency.
• Ensure reliability and scalability of data infrastructure supporting AI workloads.

Skills

Data engineering

Python

JVM languages

Spark/Ray/Beam

Petabyte-scale storage

Distributed systems

Data modeling

Dataset versioning

CI/CD

Code review

Job description

Bright Vision Technologies is seeking an AI Operations Engineer to build and operate large-scale data systems powering AI training pipelines. You will own ingestion, transformation, quality, lineage, and delivery of data to training jobs across modalities, with focus on petabyte-scale data infrastructure and reliable software engineering.

The role requires 6+ years in data engineering, strong Python, and at least one JVM language, plus experience with Spark/Ray/Beam, distributed systems, and