Data Infrastructure Engineer Role at Lumaai
Overview
Design and scale data infrastructure for high-throughput machine learning research at Lumaai. Own end-to-end pipelines that empower innovation. Drive performance and reliability in distributed systems.
What You'll Do11
- 1Build and maintain scalable data infrastructure for high-throughput machine learning workflows
- 2Collaborate with ML researchers and product teams to align data systems with evolving needs
- 3Develop and optimize large-scale data pipelines and batch processing jobs
- 4Contribute to architecture and implementation of reliable high-performance data platforms
- 5Integrate open-source tools and improve data infrastructure through monitoring and tuning
- 6Participate in cross-functional projects to enhance data reliability scalability and operational excellence
- 7Support evaluation and adoption of new programming languages and frameworks
- 8Engage in continuous improvement via monitoring troubleshooting and performance tuning
- 9Collaborate with research and engineering teams to define best practices for data infrastructure
- 10Define and refine data infrastructure development processes with research and engineering teams
- 11Work in fast-paced product-focused environment with strong execution mindset
Requirements5
- 1Proficiency in Python and experience with large-scale high-throughput data infrastructure
- 2Familiarity with distributed computing frameworks such as Ray Spark Beam
- 3Ability to design and optimize data pipelines for ML research and internal teams
- 4Strong problem-solving skills and deep understanding of data engineering at scale
- 5Collaborative product-focused mindset comfortable in dynamic environments
Salary Insight
$170 - $360k per year
Location
Required Skills
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