ML Engineer, NLP/LLM for Risk Intelligence (Remote)

techholding; Mexico; Remote; MXN 1,339,000 - 2,009,000; Part time

Job summary

Tech Holding is seeking a hands-on Machine Learning Engineer in Mexico to build an AI-powered risk intelligence platform. You will design, train, and deploy NLP and LLM-based models that process large multilingual text data from diverse sources.

You will collaborate daily with US-based engineers and product stakeholders as an individual contributor, owning model development, evaluation, and productionizing efforts end-to-end.

Qualifications

• 4+ years of professional experience building and deploying machine learning models in production.
• Strong Python skills and hands-on experience with PyTorch, TensorFlow, or Hugging Face Transformers.
• Practical NLP experience, such as classification, named entity recognition (NER), topic modeling, or semantic similarity on real-world text data.
• Hands-on experience building with LLMs (OpenAI, Anthropic, or open-source models), including prompt engineering and RAG.
• Experience with embeddings and vector search (e.g., pgvector, Pinecone, OpenSearch, or FAISS).
• Experience deploying and operating ML services on AWS, GCP, or Azure, using Docker and CI/CD.
• Solid grasp of model evaluation, including metrics, test sets, error analysis, and production monitoring.

Responsibilities

• Design, train, and deploy ML models for text classification, entity extraction, clustering, and narrative and topic detection.
• Build and improve LLM-powered features, including prompt design, retrieval-augmented generation (RAG), and agentic workflows.
• Develop embedding and semantic-search pipelines to group related content and surface emerging threats.
• Productionize models as scalable, monitored services with clear latency, cost, and accuracy targets.
• Build evaluation frameworks and datasets to measure model quality, bias, and drift over time.
• Work with data engineering to improve ingestion, labeling, and feature pipelines for high-volume, noisy, multilingual text data.
• Monitor and retrain models in production, and debug quality issues end to end.
• Join daily standups and technical discussions with the US-based client team.

Skills

Python programming

NLP

Model evaluation

Prompt engineering

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Docker

CI/CD

Job description

Tech Holding is seeking a hands-on Machine Learning Engineer in Mexico to build an AI-powered risk intelligence platform. You will design, train, and deploy NLP and LLM-based models that process large multilingual text data from diverse sources.

You will collaborate daily with US-based engineers and product stakeholders as an individual contributor, owning model development, evaluation, and productionizing efforts end-to-end.