
Data Architect for AI Research
3 hours ago
Imagine a future where humans and AI work together in harmony. At the forefront of this revolution is a pivotal role: Software Engineer for Large-Scale Data Processing.
This crucial position requires expertise in building and operating scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for LLM research.
Key Responsibilities- Design, build, and operate high-throughput systems for data ingestion, processing, and transformation to support LLM model development.
- Develop synthetic datasets using state-of-the-art solutions.
- Collaborate with research teams to deliver critical data assets for model development and evaluation.
- Implement and maintain monitoring and alerting to support platform reliability and performance.
- Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards.
Required Skills and Qualifications
- 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.
- Fluent in distributed computing frameworks.
- Deeply familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
- Extensive experience with performance optimization and memory management in high-volume data systems.
- Proactive about documentation, automation, testing, and empowering your teammates with good tooling.
Benefits and Opportunities
This role is fully remote, India-based. It offers the opportunity to work on cutting-edge projects, collaborate with talented researchers, and contribute to the development of next-generation AI solutions.
As a Software Engineer for Large-Scale Data Processing, you will be part of a high-impact team responsible for both architecture and scaling of Incept's data and model development infrastructure. You will have the chance to work with highly complex, multi-modal data and develop innovative solutions to support LLM research.
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