Remote ML Engineer - NLP/LLM for AI Risk Platform

OpenKrill; United States; À distance; USD 49 000 - 60 000; Plein temps

Résumé du poste

Tech Holding, a US‑aligned full‑service consulting firm, seeks a hands‑on Machine Learning Engineer to help build an AI‑powered risk intelligence platform. You will design, train, and deploy NLP and LLM‑based models processing large multilingual data, collaborating daily with US‑based engineers and product stakeholders as an individual contributor.

The role is remote from Mexico and is offered as a contract position.

Qualifications

• 4+ years of professional experience building and deploying ML 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., Pinecone, FAISS, OpenSearch, or pgvector).
• 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.

Responsabilités

• 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.

Connaissances

Python

PyTorch

TensorFlow

Hugging Face Transformers

NLP

LLMs / Prompt Engineering

Embeddings / Vector Search

AWS / GCP / Azure

Docker

CI/CD

Model Evaluation

Outils

pgvector

Pinecone

FAISS

OpenSearch

Docker

CI/CD

Description du poste

Tech Holding, a US‑aligned full‑service consulting firm, seeks a hands‑on Machine Learning Engineer to help build an AI‑powered risk intelligence platform. You will design, train, and deploy NLP and LLM‑based models processing large multilingual data, collaborating daily with US‑based engineers and product stakeholders as an individual contributor.

The role is remote from Mexico and is offered as a contract position.