
Expert Large Scale Data Processing Professional
4 days ago
The role of a Software Engineer (Data) is crucial in the development of large-scale data processing systems for LLM research. We are seeking an experienced professional with deep expertise in designing, building, and operating scalable data infrastructure to support distributed computing and data orchestration.
Key Responsibilities:
- Design and Build Scalable Data Infrastructure: Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development.
- Develop Synthetic Datasets: Utilize state-of-the-art solutions to create synthetic datasets.
- Collaborate with Research Teams: Work closely with researchers to deliver critical data assets for model development and evaluation.
- Implement Monitoring and Alerting: Establish monitoring and alerting systems to ensure platform reliability and performance.
- Build Traceability and Quality Control Systems: Develop systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards.
Required Skills and Qualifications:
- 5+ Years Experience: In data infrastructure, ideally supporting high-scale applications or research platforms.
- Distributed Computing Frameworks: Fluency in distributed computing frameworks.
- Cloud Infrastructure: Deep familiarity with cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Specialized Hardware: Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Databases and Storage Systems: Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Microservices Architectures: Familiarity with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
- Performance Optimization: Extensive experience with performance optimization and memory management in high-volume data systems.
Working Conditions:
This role is fully remote, India-based. Compensation and benefits will vary based on background, skills, and experience levels.
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