Senior Data Specialist

6 days ago

Bareilly, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Description

We are seeking a skilled Data Engineer to join our team. In this role, you will be responsible for designing, building, and operating scalable data infrastructure to support distributed computing and data orchestration for Large Language Model (LLM) research.

You will develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development. Additionally, you will collaborate with research teams to deliver critical data assets for model development and evaluation.

The ideal candidate will have experience in data infrastructure, preferably supporting high-scale applications or research platforms. They should be fluent in distributed computing frameworks, familiar with cloud infrastructure, data storage architectures, and batch + streaming pipelines.

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.
Benefits

This role is fully remote, India-based. We offer competitive compensation and benefits based on background, skills, and experience levels.

Others

As a member of our team, you will work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets. You will also join a high-impact, compact team responsible for both architecture and scaling of our data and model development infrastructure.

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