Senior Machine Learning Engineer
Protagonist, Washington DC +1
What you will do
- Partner with product, engineering, and data science teams to identify high-impact NLP use cases and turn business needs into ML solutions that deliver measurable value
- Own production NLP pipelines spanning narrative detection, NER, span classification, stance and characterization analysis, event extraction, deduplication, and knowledge-base entity linking over multi-language, noisy real-world text
- Design, build, and operate production NLP pipelines, narrative detection, event classification, entity resolution and linking, deduplication — over multi-language, noisy real-world text at scale
- Build and maintain ML workflows in Metaflow orchestrated on Argo Workflows and Kubernetes (EKS), including GPU-accelerated training and batch inference
- Develop LLM-powered features on AWS Bedrock: RAG pipelines with vector search on OpenSearch, tool-using agents, and document-analysis workflows — within GovCloud/ITAR constraints
- Fine-tune and deploy transformer models (classification, embeddings, entity linking) for domain-specific and foreign-language content