Remote AI Data Pipeline Engineer - Scale ML Workloads

Taswiq4me

United States

Remote

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Bright Vision Technologies is seeking an AI Pipeline Engineer to build and operate large-scale data systems powering AI training and evaluation. You will design ingestion, transformation, and quality assurance for multimodal data and ensure scalable, high-throughput pipelines.

Ideal candidates bring 6+ years in data engineering, strong Python and distributed systems skills, and experience with Spark, Ray, or Beam, plus dataset versioning and governance for reproducible ML workflows.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • Six+ years of data engineering experience, with ML/AI workloads.
  • Proficient in Python and at least one JVM or systems language.
  • Experience with Spark, Ray, or Beam.
  • Experience with petabyte-scale storage and pipelines.
  • Strong understanding of distributed systems and data modeling.
  • Experience with dataset versioning and reproducibility for ML workflows.
  • Familiarity with CI/CD and testing practices.
  • Excellent communication and cross-functional collaboration skills.

Responsibilities

  • Design and operate large-scale data pipelines supporting AI training and evaluation.
  • Build ingestion systems for multimodal data (text, image, audio, video, structured signals).
  • Ensure data quality, deduplication, filtering, and provenance at scale.
  • Develop dataset versioning, lineage, and reproducibility for ML workflows.
  • Build high-throughput data loading to maximize GPU utilization during training.
  • Implement labeling workflows and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency.
  • Document data systems, schemas, and operational procedures.

Skills

Python
Distributed systems
Data engineering
Data pipelines
CI/CD
Communication

Education

Bachelor’s or Master’s in Computer Science

Tools

Spark
Ray
Beam
Petabyte-scale storage

Job description

Bright Vision Technologies is seeking an AI Pipeline Engineer to build and operate large-scale data systems powering AI training and evaluation. You will design ingestion, transformation, and quality assurance for multimodal data and ensure scalable, high-throughput pipelines.

Ideal candidates bring 6+ years in data engineering, strong Python and distributed systems skills, and experience with Spark, Ray, or Beam, plus dataset versioning and governance for reproducible ML workflows.

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