Principal ML Engineer
Core
Architect and build a process-intelligence platform that automatically discovers enterprise workflows from multimodal data (video, documents, logs) to create autonomous AI agents.
Role type
Principal ML Engineer (Platform Architect)
Builds
Reusable agentic AI platform, process discovery systems, multimodal understanding pipelines, and enterprise knowledge graphs.
Domain
Enterprise Operations / Financial Services / Agentic AI
Deliverable
production ML models | product features | infrastructure
Required skills
Systems architecture, unsupervised learning, clustering algorithms, knowledge graphs, Python, ML frameworks, agentic system design, entity resolution, MLOps, distributed computing, containerization
Preferred skills
NLP, LLMs, embedding models, process mining, cloud platforms, financial services domain experience
Technologies
Python, ML frameworks, graph databases, cloud platforms, containerization/orchestration tools
Responsibilities
Define end-to-end platform architecture and reusable components; build ML systems for automating process discovery from multimodal data; engineer agent architectures and orchestration frameworks; enrich enterprise knowledge graphs with entity resolution and clustering; set engineering standards for evaluation and observability; prototype and productionize complex components.
Seniority
Principal, hands-on IC with mentorship
