NLP & ML Engineer for Risk Intelligence (Remote MX)

Tech Holding; Región Centro; Remoto; MXN 1.200.000 - 2.000.000; Part-time

Descrizione del lavoro

Tech Holding is seeking a hands‑on Machine Learning Engineer in Mexico to join a team building an AI‑powered risk intelligence platform. You'll design, train, and deploy NLP and LLM‑based models, processing large multilingual text data and surfacing emerging threats, while collaborating with US‑based engineers and stakeholders.

The role emphasizes end‑to‑end model development, deployment, monitoring, and ongoing improvement, with a contract arrangement and remote work from Mexico.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

PyTorch

TensorFlow

HuggingFace Transformers

NLP

NER

Topic Modeling

Semantic Similarity

LLMs

Prompt Engineering

RAG

Embeddings

Vector Search

AWS

GCP

Azure

Docker

CI/CD

Model Evaluation

Monitoring

Strumenti

pgvector

Pinecone

OpenSearch

FAISS

Docker

CI/CD

Descrizione del lavoro

Tech Holding is seeking a hands‑on Machine Learning Engineer in Mexico to join a team building an AI‑powered risk intelligence platform. You'll design, train, and deploy NLP and LLM‑based models, processing large multilingual text data and surfacing emerging threats, while collaborating with US‑based engineers and stakeholders.

The role emphasizes end‑to‑end model development, deployment, monitoring, and ongoing improvement, with a contract arrangement and remote work from Mexico.