Deep Learning and Artificial Intelligence Specialist

3 days ago

Lahore, Punjab, Pakistan beBeeMachineLearning Full time 15,000,000 - 20,250,000
Job Overview

Expert-Level Machine Learning/AI Professional – Deep Learning & GenAI

This is a zero-to-one role where you will design, train and deploy large-scale machine learning models from scratch. You will work on cutting-edge technologies such as transformers, GELUs, normalization strategies, LLM scaling laws and more.

Responsibilities:

  • Design and train foundation models (e.g. GPT, T5, Mistral, LLaMA) from scratch on multi-node GPU clusters.
  • Lead full-stack GenAI architecture: tokenizer design, attention variants, pretraining schemes, alignment, quantization, serving.
  • Conduct frontier research in model optimization, mixture-of-experts, context length extrapolation, prompt tuning and memory efficiency.
  • Implement and extend SOTA methods from arXiv.
  • Manage model lifecycle: data curation, pretraining, finetuning, evaluation, quantization, deployment, postmortems.
  • Work with multi-modal inputs for cross-domain GenAI systems.
  • Drive production-grade optimization: low-latency inference, batching strategies, CUDA kernel debugging, memory offloading, model sharding.

Requirements:

  • Transformers, self-attention, residual connections, GELUs, normalization strategies.
  • LLM scaling laws, curriculum learning, token sampling strategies.
  • Contrastive learning, masked modeling, autoregressive generation, denoising diffusion.

You should have trained, fine-tuned, benchmarked and deployed transformer-based models at scale, understand the research behind every paper you cite and have shipped production-grade ML systems across distributed GPU environments.

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