Machine Learning Engineer | Contract | Remote
Core
Design, build, and deploy NLP and LLM-based models for an AI-powered risk intelligence platform to detect and assess online threats.
Role type
hands-on individual-contributor machine learning engineer (NLP/LLM)
Builds
AI-powered risk intelligence platform for enterprise threat detection
Domain
cybersecurity + natural language processing
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow/Hugging Face Transformers, NLP (classification, NER, topic modeling), LLMs (prompt engineering, RAG), embeddings/vector search, cloud ML deployment (AWS/GCP/Azure), Docker, CI/CD, model evaluation
Preferred skills
trust and safety/threat intelligence, agentic AI systems, multilingual NLP, MLOps tooling, streaming data processing, model fine-tuning/distillation
Technologies
OpenAI, Anthropic, LangChain, LlamaIndex, pgvector, Pinecone, OpenSearch, FAISS, MLflow, SageMaker, Vertex AI, Kafka, Spark, Airflow
Responsibilities
Design, train, and deploy ML models for text classification, entity extraction, clustering, and topic detection; Build and improve LLM-powered features including prompt design and RAG; Develop embedding and semantic-search pipelines; Productionize models as scalable, monitored services; Build evaluation frameworks to measure model quality and drift; Work with data engineering to improve ingestion and feature pipelines for noisy, multilingual text data; Monitor and retrain models in production and debug quality issues
Seniority
Mid-Senior level (4+ years experience)
