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We're building something that doesn't exist yet in

Latin America: a domain-specific large language model

trained on a large Spanish-language corpus, deployed

on proprietary on-premise hardware, solving a real

problem for clients who are already waiting.

We can't tell you exactly what it is yet.

What we can tell you:

→ The corpus is real and large

→ The clients are real and paying

→ The hardware is ready

→ The team is small and the decisions matter

→ The person who joins now shapes the architecture

This is a fully on-site role in Mérida, Yucatán.

We want someone in the room — not because we don't

trust remote work, but because the knowledge needs

to live in the team, not in one person's laptop.

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WHAT YOU'LL BUILD

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→ Large-scale Spanish text dataset pipeline:

 cleaning, deduplication, tokenization

→ Continual Pre-Training (CPT) on open-source

 base models (Llama/Qwen family) on dedicated

 GPU workstation — in our office

→ Supervised fine-tuning: SFT with LoRA/QLoRA,

 HuggingFace + TRL

→ RLHF/DPO pipeline with domain expert annotators

→ Model quantization for on-premise deployment:

 GGUF, MLX, llama.cpp

→ RAG system on PostgreSQL + pgvector

→ Evaluation suite + hallucination monitoring

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✅ YOU NEED THIS

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→ Python — advanced and demonstrable

→ Real ML framework experience: PyTorch,

 TensorFlow, or Scikit-learn with actual

 projects, not just certifications

→ Mathematical foundation: linear algebra,

 stats, calculus — things you actually use

→ Linux CLI — the training workstation runs

 Linux, full stop

→ English — reading ML papers and HuggingFace

 docs is part of the daily job

→ Spanish native or C2 — the corpus is in

 Spanish

→ Based in Mérida, Yucatán — fully on-site, no exceptions

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⭐ BONUS POINTS

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→ HuggingFace Transformers / TRL / PEFT

→ LLM fine-tuning: SFT, LoRA, QLoRA, DPO

→ RAG pipelines and vector databases (pgvector)

→ Ollama, llama.cpp, MLX (Apple Silicon)

→ Data engineering: ETL, scraping, text pipelines

→ Docker + CI/CD basics

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WHAT YOU GET

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Competitive salary — first call, directly,

  no invented ranges

On-site in Mérida — real team, real

  collaboration, real knowledge transfer

️ Dedicated GPU hardware — not your laptop