ML Data Engineer

About the Role: Bright Vision Technologies is seeking an ML Data Engineer to build and operate the large-scale data infrastructure that supports AI training and evaluation. This role combines data engineering and software development, with a focus on reliable data ingestion, transformation, quality assurance, lineage, and high-throughput data delivery for machine learning workloads. You will help manage large-scale data systems and pipelines that support AI models across different data modalities. The role requires strong experience with distributed data processing, storage systems, and ML workflows, along with an understanding of how data quality and infrastructure decisions affect model performance and training efficiency.

Key Responsibilities: Build and operate large-scale data systems that support machine learning training and evaluation pipelines. Develop data ingestion and transformation processes for AI workloads. Implement data quality checks and maintain reliable, consistent datasets for model development. Manage data lineage, versioning, and reproducibility across machine learning workflows. Build and maintain high-throughput pipelines that deliver data efficiently to training jobs. Work with distributed data processing frameworks such as Spark, Ray, or Beam. Support storage and pipeline systems operating at petabyte scale. Apply sound data modeling and storage practices to support performance and scalability. Develop and maintain software using established engineering practices, including testing, CI/CD, and code reviews. Collaborate with data scientists, machine learning engineers, and other technical teams to support AI development. Help ensure data infrastructure supports efficient accelerator-based model training.

Required Qualifications: Bachelor’s or Master’s degree in Computer Science or a related field. At least 6 years of data engineering experience, including substantial work supporting machine learning or AI workloads. Strong proficiency in Python and at least one JVM-based or systems programming language. Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. Hands-on experience operating petabyte-scale storage systems and data pipelines. Strong understanding of distributed systems, data modeling, and storage formats. Experience with dataset versioning, lineage, and reproducibility for machine learning workflows. Familiarity with high-throughput data loading for accelerator-based training. Strong software engineering practices, including automated testing, CI/CD, and code review. Excellent communication and cross-functional collaboration skills.

Preferred Qualifications: Experience working with large-scale multimodal datasets. Familiarity with data quality tools and dataset evaluation methodologies. Exposure to privacy-preserving data systems and regulated data handling. Contributions to open-source data infrastructure projects. Experience supporting training pipelines for frontier AI models. Location and Work Arrangement

Location: United States

Work Arrangement: 100% remote

Employment Type: Full-time, direct W-2 employment

Equal Employment Opportunity: Bright Vision Technologies (BV Teck) is committed to equal employment opportunity for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other status protected by applicable federal, state, or local laws. This commitment applies to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck prohibits workplace harassment and discrimination. Improper interference with employees’ ability to perform their job duties may result in disciplinary action, up to and including termination.