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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