AI Developer

S
Salvo SoftwareSoftware Development
Workable locations: MexicoFull-Time
Salary not disclosed
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Job Details

Required Skills
DockerPythonGitMySQLPyTorchPostgresPandasTensorflowCI/CDDevOpsAzure DevOpsscikit-learn

Requirements

  • Strong experience in Python for backend and ML development.
  • Expertise with ML frameworks such as PyTorch or TensorFlow, scikit-learn, and pandas.
  • Solid knowledge of Postgres or MySQL for data storage.
  • Experience with Docker, Git, and DevOps best practices.
  • Hands-on expertise with LLM training, fine-tuning, and optimization.
  • Experience with Hugging Face Transformers & Datasets.
  • Familiarity with XML/XSD and Office document parsing tools.
  • Experience deploying models with vLLM, TGI, or Ollama.
  • Understanding of quantization techniques (GGUF/GPTQ/AWQ).
  • Experience working with GPU optimization and CUDA stack.
  • Ability to build solutions for offline, on-prem, and air-gapped environments.

Responsibilities

  • Train and fine-tune LLMs using supervised fine-tuning (SFT).
  • Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures.
  • Build LoRA / Q-LoRA pipelines for efficient fine-tuning.
  • Implement and optimize data preprocessing workflows, including tokenization and long-context handling.
  • Use and extend Hugging Face Transformers & Datasets for training and inference.
  • Parse and process structured and semi-structured data, including XML/XSD files.
  • Implement document parsing solutions for Office formats (python-docx, OpenXML).
  • Deploy, run, and maintain models fully offline and in air-gapped environments.
  • Perform model optimization and quantization (GGUF, GPTQ, AWQ, bitsandbytes).
  • Build and maintain inference systems using frameworks like vLLM, TGI, and Ollama.
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