Advanced Large Scale Data Architect
2 days ago
Job Title: Senior Data ArchitectLocation: Remote / HybridEmployment Type: Contract/ Freelance We are looking for a seasoned Senior Data Engineer to architect, build and own the data pipelines that power our large language model development. As a senior individual contributor, you will be the team's expert on data ingestion, processing and quality for all AI training. Your primary mission is to design and develop scalable automated systems that transform massive raw datasets into pristine model-ready formats. While your focus will be on data engineering, your expertise will be valued in collaborating on model training runs and experiments. You're the perfect fit if you are a python expert who thrives on solving large-scale data challenges and enjoys working at the intersection of data engineering and machine learning.Key Responsibilities Design, develop and own robust scalable automated etl/elt pipelines in python for ingesting and processing terabyte scale text datasets. Implement rigorous data cleaning deduplication filtering and normalization strategies. Define and enforce data quality standards to ensure the highest integrity for model training. Efficiently structure and format diverse datasets for consumption by llm training frameworks. Work closely with our team of ai researchers and ml engineers to understand data requirements define metrics and support the model training lifecycle. Continuously optimize data processing workflows for speed cost and reliability. Occasionally assist in launching monitoring and debugging data related issues during model training runs. Required Skills and Qualifications 8+ years of professional experience in data engineering data processing or backend software engineering. Expert-level proficiency in python and its data ecosystem e.g. pandas numpy dask polars. Proven experience building and maintaining large-scale data pipelines. Deep understanding of data structures data modeling and software engineering best practices e.g. git cicd testing. Experience handling and parsing diverse data formats at scale. Excellent problem-solving skills and a meticulous attention to detail. Strong communication and collaboration skills with experience working in a team environment. Benefits Opportunity to lead cutting-edge ai and ml projects. Collaborative and innovative team culture. Competitive compensation with continuous learning opportunities.
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