ML Data Engineer
October 8
Description
• Monitor production machine learning systems to ensure performance and reliability • Develop big data ETL pipelines for model development and evaluation • Manage and curate datasets for training machine learning models using sensor data
Requirements
• 4+ years of experience working in data engineering • Demonstrated proficiency in Python, including experience with coroutines, NumPy/SciPy, Pandas • Experience with AWS services relevant to machine learning and data engineering, including EC2, SageMaker, S3, and Kinesis as well as SQL • Problem-solving, communication skills and the ability to work effectively in a team environment
Benefits
• Flexible PTO • 100% employer contribution for medical/dental/vision insurance • Role ownership, and uncapped growth opportunities
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