Senior Large-Scale Data Processing Specialist

1 day ago


Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a highly skilled Data Engineer to join our compact team. The ideal candidate will have expertise in large-scale data processing and experience working with distributed computing frameworks.

The role requires the design, build, and operation of scalable, fault-tolerant data infrastructure to support LLM Research.

  • Design and Build Scalable Data Infrastructure: Create 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 Researchers: Work closely with research teams to deliver critical data assets for model development and evaluation.
  • Implement Monitoring and Alerting: Develop monitoring and alerting systems to ensure platform reliability and performance.
  • Build Systems for Traceability: Establish 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, preferably supporting high-scale applications or research platforms.
  • Distributed Computing Frameworks: Proficient in fluent distributed computing frameworks.
  • Cloud Infrastructure: Experienced in cloud infrastructure, data storage architectures, and batch + streaming pipelines.
  • Specialized Hardware: Familiar with specialized hardware (GPUs, TPUs) computing and GPU cluster.
  • Database Knowledge: Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
  • Microservices Architecture: Experienced in microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.

Benefits

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

Other Opportunities

Join a dynamic team passionate about building next-generation AI solutions to enhance education and research.



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