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LLM Optimization Engineer

LLM Optimization Engineer

Jade GlobalHyderabad
6 days ago
Job description

Job Description : Customer Interview

No location criteria

Key Responsibilities :

  • Analyze tracing logs from LLM inference and training runs to identify performance issues and inefficiencies.
  • Develop tools and scripts to parse, visualize, and monitor LLM tracing data.
  • Collaborate with ML and infra teams to recommend and implement performance optimizations.
  • Create documentation and dashboards to track optimization progress over time.
  • Investigate and resolve model latency and throughput issues related to runtime behavior.
  • Contribute to best practices for performance tracing, benchmarking, and logging across model deployments.

Required Qualifications :

  • Bachelors or Masters degree in Computer Science, Machine Learning, or related field.
  • Experience working with large-scale ML models, preferably LLMs (e.g., GPT, BERT, etc.)
  • Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with model tracing tools such as PyTorch Profiler, TensorBoard, DeepSpeed, or similar.
  • Strong problem-solving skills and attention to detail in analyzing complex logs and metrics.
  • Preferred Qualifications :

  • Experience with distributed training / inference and GPU performance optimization.
  • Knowledge of systems profiling tools (e.g., NVIDIA Nsight, perf, Flamegraphs).
  • Background in MLOps, observability, or AI infrastructure.
  • (ref : hirist.tech)

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