AI Data Engineer - AI Training data at Bpcs · LumiJobs

Qualification

Strong proficiency in PythonWorking knowledge of SQLStrong troubleshootingExperience developing OCR pipelinesExperience with Azure DatabricksFamiliarity with Hugging Face DatasetsExperience with dataset lineageAt Blueprint

Required

5+ years of professional experience in data engineering, data pipeline development, or data science with substantial hands-on programming responsibilities.
Strong proficiency in Python, including developing reusable modules, debugging, testing, logging, and error handling.
Demonstrated experience building and developing datasets from scratch, including data ingestion, cleaning, transformation, validation, and preparation.
Hands-on experience processing large-scale structured and unstructured datasets using memory-efficient, parallel, or distributed processing techniques.
Practical experience with Azure Blob Storage or Azure Data Lake Storage, including bulk data transfers, storage organization, and access troubleshooting.
Experience with Python data-processing libraries and formats such as pandas, NumPy, JSON/JSONL, CSV, and Parquet.
Working knowledge of SQL, Git, Linux environments, and command-line tools.
Strong troubleshooting, analytical, and problem-solving skills with a focus on data quality and integrity.
Ability to communicate technical challenges and collaborate effectively with cross-functional engineering and data science teams.

Preferred

Experience developing OCR pipelines, processing scanned documents, multilingual text, or document-layout data.
Experience with Azure Databricks, Azure Machine Learning, Azure Data Factory, or other workflow orchestration platforms.
Familiarity with Hugging Face Datasets, AI/ML tokenization, near-duplicate detection, and training/evaluation data separation.
Experience with large-scale dataset curation and preparation for AI or machine learning model training.
Knowledge of distributed data processing frameworks and technologies such as PySpark.
Experience with dataset lineage, reproducibility, containerized environments, and CI/CD practices.
Experience optimizing data pipelines for performance, reliability, scalability, and cost efficiency.
At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 USD/Annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range.

AI Data Engineer - AI Training data

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Bpcs

More roles at Bpcs