Remote ML Engineer for NLP & LLM Risk Intelligence

techholding; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Tech Holding in the United States is seeking a hands-on Machine Learning Engineer for an assignment to build an AI-powered risk intelligence platform. You will design, train, and deploy NLP/LLM models that process large volumes of multilingual text, delivering signals used by customers.

This contractor role collaborates with data and backend engineers and product stakeholders, requires 4+ years in production ML, strong Python, and experience with cloud deployments and MLOps.

Qualifications

• 4+ years of professional experience deploying ML models in production.
• Proficient in Python with ML frameworks (PyTorch, TensorFlow, Transformers).
• Practical NLP experience: classification, named entity recognition (NER), topic modeling, or semantic similarity.
• Experience with LLMs and prompt engineering including RAG.
• Experience with embeddings and vector search (PGVector, FAISS, Pinecone).
• Experience deploying ML services on AWS/GCP/Azure with Docker & CI/CD.
• Strong communication and ability to work remotely in cross-functional teams.

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
• Document approaches and share trade‑offs clearly with technical and non‑technical stakeholders

Skills

Python

PyTorch

TensorFlow

Hugging Face Transformers

NLP

NER

LLMs

Prompt engineering

RAG

Embeddings and vector search

AWS/GCP/Azure

Docker

CI/CD

Model evaluation

Communication

Tools

pgvector

Pinecone

OpenSearch

FAISS

LangChain

LlamaIndex

Job description

Tech Holding in the United States is seeking a hands-on Machine Learning Engineer for an assignment to build an AI-powered risk intelligence platform. You will design, train, and deploy NLP/LLM models that process large volumes of multilingual text, delivering signals used by customers.

This contractor role collaborates with data and backend engineers and product stakeholders, requires 4+ years in production ML, strong Python, and experience with cloud deployments and MLOps.