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Data Scientist

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djinni.co
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Що робити

  • Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure.
  • Build and manage end-to-end machine learning training pipelines.
  • Prepare, clean, structure, and process large volumes of real-world data.
  • Select appropriate models, frameworks, tools, and training approaches based on project requirements.
  • Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning.

Що очікуємо

  • Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role.
  • Strong hands-on experience training or fine-tuning LLMs and/or SLMs.
  • Practical experience using GPUs for AI model training.
  • Strong Python programming skills.
  • Experience with machine learning and deep-learning frameworks such as:

Що пропонуємо

  • Experience with distributed model training.
  • Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.
  • Experience with MLOps tools and model deployment.
  • Knowledge of Docker, Kubernetes, MLflow, or similar technologies.
  • Experience using AWS, Azure, or Google Cloud for AI workloads.

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