High-Performance Data Architect

2 days ago

Bhavnagar, Gujarat, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Data Engineering Role

We're seeking an experienced Data Engineer to join our team responsible for building and scaling data infrastructure. This role requires expertise in large-scale data processing for AI model development.

About the Position:

You'll work directly with researchers to accelerate experiments, develop new datasets, improve infrastructure efficiency, and enable key insights across our data assets. Your responsibilities will include designing, building, and operating scalable, fault-tolerant data infrastructure to support distributed computing and data orchestration for AI Research.

  • Data Infrastructure Development: Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support AI model development.
  • Synthetic Datasets: Develop synthetic datasets using state-of-the-art solutions.
  • Collaboration and Delivery: Collaborate with research teams to deliver critical data assets for model development and evaluation.
  • Monitoring and Alerting: Implement and maintain monitoring and alerting to support platform reliability and performance.
  • Quality Control and Compliance: 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.

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