Remote ML Engineer: NLP/LLM for Risk Intelligence

techholding; United States; Remote; USD 120.000 - 180.000; Teilzeit

Zusammenfassung

Tech Holding is seeking a hands-on Machine Learning Engineer for an project-based assignment to help build an AI-powered risk intelligence platform. You will design, train, and deploy NLP and LLM-based models that process large multilingual data sources, feeding signals for customer actions.

This is an individual-contributor role working with data and backend engineers. You will implement embeddings, RAG, and agentic workflows, and productionize services with clear latency and cost targets while

Qualifikationen

• 4+ years of professional experience building and deploying ML models in production.
• Strong Python skills and hands-on with PyTorch, TensorFlow, or Hugging Face Transformers.
• Practical NLP experience on real-world text data (classification, NER, topic modeling).
• Hands-on experience with LLMs including prompt engineering and RAG.
• Experience with embeddings and vector search (e.g., FAISS, Pinecone, OpenSearch).
• Experience deploying and operating ML services on AWS/GCP/Azure with Docker and CI/CD.
• Solid model evaluation, metrics, test sets, and production monitoring.
• Strong communication and ability to work in a remote, cross-functional team.

Aufgaben

• Design, train, and deploy ML models for text classification, entity extraction, clustering, and detection.
• Build and improve LLM-powered features, including prompt design and retrieval-augmented generation.
• Develop embedding and semantic-search pipelines to surface emerging threats.
• Productionize models as scalable, monitored services with latency, cost, and accuracy targets.
• Create evaluation frameworks and datasets to measure model quality, bias, and drift.
• Collaborate with data engineering to improve ingestion, labeling, and feature pipelines.
• Monitor and retrain models in production, debugging quality issues end to end.
• Document approaches and share trade-offs with technical and non-technical stakeholders.

Kenntnisse

Python

NLP

LLMs

Vector search

Embeddings

PyTorch

Cloud basics

CI/CD

Communication

Tools

Docker

SageMaker

Vertex AI

FAISS

Pinecone

Jobbeschreibung

Tech Holding is seeking a hands-on Machine Learning Engineer for an project-based assignment to help build an AI-powered risk intelligence platform. You will design, train, and deploy NLP and LLM-based models that process large multilingual data sources, feeding signals for customer actions.

This is an individual-contributor role working with data and backend engineers. You will implement embeddings, RAG, and agentic workflows, and productionize services with clear latency and cost targets while