Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking an AI Data Engineer to build and operate large-scale data systems that power modern AI training and evaluation pipelines.

Responsibilities

• Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows
• Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals
• Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale
• Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training
• Build high-throughput data loading systems that maximize GPU utilization during training
• Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems
• Design storage architectures balancing cost, throughput, and latency across data tiers
• Build evaluation dataset construction pipelines with strict integrity and contamination controls
• Implement data privacy, redaction, and consent enforcement throughout the pipeline
• Collaborate with ML researchers and engineers to align data systems with model development needs
• Drive observability of data quality, drift, 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 current with AI data infrastructure research and emerging open-source tools

Skills

• Bachelor's or Master's degree in Computer Science or a related 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 Spark, Ray, or Beam
• Hands-on experience 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
• Strong software engineering practices including testing, CI/CD, and code review
• Excellent communication and cross-functional collaboration skills
• Experience with multimodal datasets at large scale
• 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
• Experience supporting frontier model training pipelines

Benefits

• Competitive base salary commensurate with experience, plus benefits.
• 100% remote, full-time, direct W2 position with Bright Vision Technologies.
• No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
• Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap.
• We do not engage in C2C, 1099, or third-party arrangements for this role.
• We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Company Overview