In_senior Associate_senior Data Engineer_data And Analytics_advisory_bangalore

PwC UK

Bangalore, India
Ml pipeline design
Llm serving and gpu architecture
Model fine-tuning and optimization
Design ML pipelines for experiment management, model management, feature management, and model retraining

Job Summary

  • Design ML pipelines for experiment management, model management, feature management, and model retraining.
  • Possess deep knowledge of GPU architectures and expertise in distributed training and serving of large language models.
  • Proven expertise in DevOps and LLMOps practices, knowledgeable in Kubernetes, Docker, and container orchestration.

Matching Summary

Design ML pipelines for experiment management, model management, feature management, and model retraining.

Skills & Requirements

Must-have

  • ML Pipeline Design
  • LLM Serving and GPU Architecture
  • Model Fine-Tuning and Optimization
  • DevOps and LLMOps Proficiency
  • Python
  • SQL
  • Javascript

Nice-to-have

  • Accepting Feedback
  • Active Listening
  • Analytical Thinking
  • Creativity
  • Data-Driven Insights

Key Requirements

  • 5-8 years of experience
  • B.Tech/MCA/BCA/M.tech
  • Master of Engineering, Bachelor of Engineering

Work Rights

Not specified

Tailored Resume

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