Building Cutting-Edge AI Systems as a Senior Data Engineer

2 weeks ago

pushkar, India beBeeDataEngineer Full time

Job DescriptionWe are seeking a seasoned Senior Data Engineer to architect, build, and own the data pipelines that power our large language model development.The successful candidate will be responsible for designing, developing, and owning robust, scalable, and automated ETL/ELT pipelines in Python for ingesting and processing terabyte-scale text datasets.Key responsibilities include:Architect & Build: Design, develop, and own robust, scalable, and automated ETL/ELT pipelines in Python for ingesting and processing terabyte-scale text datasets.Data Quality: Implement rigorous data cleaning, deduplication, filtering, and normalization strategies.Data Transformation: Efficiently structure and format diverse datasets (JSON, Parquet, etc.) for consumption by LLM training frameworks.Collaboration: Work closely with AI researchers and ML engineers to understand data requirements, define metrics, and support the model training lifecycle.Optimization: Continuously optimize data processing workflows for speed, cost, and reliability.ML Support: Assist in launching, monitoring, and debugging data-related issues during model training runs.The ideal candidate should have strong problem-solving skills, meticulous attention to detail, excellent communication, and collaboration skills, with experience working in a team environment.Preferred qualifications include hands-on experience with data preprocessing pipelines for LLMs, strong experience with big data frameworks like Apache Spark or Ray, experience with Hugging Face libraries, familiarity with ML frameworks, and proficiency with cloud platforms and their data/storage services.Why Work with UsOpportunity to lead cutting-edge AI and ML projects.Collaborative and innovative culture.Competitive compensation with continuous learning opportunities.

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