AI Developer

🕒 May 4

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Salvo Software

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Salvo Software is a global software development company headquartered in Vancouver, WA, with near-shoring capabilities that offer a blend of international pricing and U. S. standards. The company specializes in custom software solutions, providing services such as software product development, AI-enabled applications, blockchain development, IoT, speech recognition, web application development, and business automation. Salvo Software is dedicated to helping enterprises and startups develop strategic products through agile development processes and adaptable, affordable services. Their expertise includes UI/UX design, QA and testing, embedded firmware development, and cloud application development, supporting various industries with tailored solutions like e-commerce platforms, CRM systems, and educational resource platforms.

📋 Description

• 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. • Optimize GPU usage (CUDA, cuDNN, VRAM-aware batching). • Maintain local CI/CD pipelines for ML models without cloud dependencies. • Manage local model registries, versioning, and artifacts. • Build backend services in Python for ML training and inference workflows. • Work with relational databases (Postgres/MySQL). • Use Docker and Git for reliable development and deployment pipelines. • Use Azure DevOps for CI/CD (including local runners when applicable).

🎯 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. • Nice to Have • Experience managing ML model registries in offline environments. • Familiarity with AWS for hybrid deployments (not mandatory). • Experience with secure environments, restricted networks, or enterprise compliance. • Soft Skills • Strong ownership and problem-solving ability. • Ability to work in distributed teams across time zones. • Clear communication when discussing complex technical topics.