[Remote] AI Data Infrastructure Engineer

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. We are seeking an AI Data Infrastructure Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines.ResponsibilitiesDesign and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflowsBuild ingestion systems for diverse modalities including text, image, audio, video, and structured signalsImplement data cleaning, deduplication, filtering, and quality assurance at petabyte scaleDevelop dataset versioning, lineage, and provenance tracking systems suitable for reproducible trainingBuild high-throughput data loading systems that maximize GPU utilization during trainingImplement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systemsDesign storage architectures balancing cost, throughput, and latency across data tiersBuild evaluation dataset construction pipelines with strict integrity and contamination controlsImplement data privacy, redaction, and consent enforcement throughout the pipelineCollaborate with ML researchers and engineers to align data systems with model development needsDrive observability of data quality, drift, and pipeline health across the AI data estateOptimize cost and performance through compression, format selection, and caching strategiesDocument data systems, schemas, and operational procedures for broad internal useStay current with AI data infrastructure research and emerging open-source toolsSkillsBachelor's or Master's degree in Computer Science or a related fieldSix or more years of data engineering experience, with significant work supporting ML or AI workloadsStrong proficiency in Python and at least one JVM or systems languageDeep experience with modern data processing frameworks such as Spark, Ray, or BeamHands-on experience operating petabyte-scale storage and pipeline systemsStrong understanding of distributed systems, data modeling, and storage formatsExperience with dataset versioning, lineage, and reproducibility for ML workflowsFamiliarity with high-throughput data loading for accelerator-based trainingStrong software engineering practices including testing, CI/CD, and code reviewExcellent communication and cross-functional collaboration skillsExperience with multimodal datasets at large scaleFamiliarity with data quality tooling and dataset evaluation methodologyExposure to privacy-preserving data systems and regulated data handlingOpen-source contributions to data infrastructure projectsExperience supporting frontier model training pipelinesBenefitsFull-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)Competitive base salary commensurate with experience, plus benefits.We will support H1B transfers for qualified candidates.Company OverviewBright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services. It was founded in 2020, and is headquartered in Bridgewater, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://bvteck.com.