Added
6 days ago
Type
Full time
Salary
Salary not provided

Related skills

python pytorch rag hugging face transformers vertex ai

📋 Description

  • Design, train, and fine-tune Small Language Models (SLMs) and RAG solutions.
  • Build end-to-end AI solutions from data prep to production deployment.
  • Collaborate with product, engineering, and infra teams to deliver scalable AI.
  • Develop data pipelines for collecting, cleaning, tokenising, and pre-processing data.
  • Enable efficient distributed training across GPU/TPU clusters.

🎯 Requirements

  • 4–6 years of professional ML/NLP experience.
  • ≥2 years training or fine-tuning LLMs/SLMs.
  • Bachelor’s or Master’s in CS/DS/ML or equivalent.
  • Python proficiency; PyTorch; TensorFlow or JAX.
  • Transformers, Datasets, PEFT, TRL, Accelerate.
  • Distributed training (DDP/FSDP/DeepSpeed) and cloud ML platforms (SageMaker, Vertex AI, Azure ML).
  • Data tools: Pandas, NumPy, Spark or Dask.

🎁 Benefits

  • Collaborative, inclusive culture.
  • Global team with growth opportunities.
  • Work on cutting-edge NLP/LLM research.
  • Strong engineering culture and cross-functional collaboration.
  • Learning and development support.
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