
Data Infrastructure Specialist
2 weeks ago
We are seeking a highly skilled Data Infrastructure Engineer to join our compact team responsible for building and scaling next-generation AI solutions. This role will play a critical part in developing high-throughput systems for data ingestion, processing, and transformation.
The ideal candidate will have expertise in large-scale data processing, distributed computing frameworks, cloud infrastructure, and batch + streaming pipelines. They will also be proficient in designing scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research.
This is a fully remote position, based in India. The successful candidate will work closely with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets.
The responsibilities of this role include:
- Designing and building scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM Research
- Developing and maintaining high-throughput systems for data ingestion, processing, and transformation
- Collaborating with research teams to deliver critical data assets for model development and evaluation
- Implementing and maintaining monitoring and alerting to support platform reliability and performance
- Building systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards
Required skills and qualifications include 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms. Fluency in distributed computing frameworks and deep familiarity with cloud infrastructure, data storage architectures, and batch + streaming pipelines is essential.
This is an exciting opportunity for a talented Data Infrastructure Engineer to join our dynamic team and contribute to the development of cutting-edge AI solutions. If you have a passion for building scalable data infrastructure and working with complex, multi-modal data, we encourage you to apply.
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