Staff Machine Learning Engineer
Core
Lead the AI and agentic systems for Altana Nexus, processing global trade data to enable real-time risk, compliance, and enforcement decisions for governments and large companies.
Role type
Staff Machine Learning Engineer (Agentic Systems & LLMs)
Builds
Agentic platforms for global trade risk and compliance
Domain
Global Trade, Financial Services, Regulatory Compliance
Deliverable
production ML models
Required skills
Production LLM application development, Agentic workflows, LLM post-training (SFT, DPO, RLHF), Model evaluation pipelines, System architecture for data ingestion, Fine-tuning and adaptation of models
Preferred skills
Multi-agent system design, Vision-language models for document understanding, Hybrid retrieval systems, LLMOps tooling, Safety and guardrails for regulated domains
Technologies
Python, PyTorch, Hugging Face, LangGraph, vLLM, AWS, Azure, Databricks, Postgres, OpenSearch, Docker, Kubernetes
Responsibilities
Define technical direction and architecture for agentic systems processing trade data, Build pipelines from ingestion to decision-making, Adapt and post-train models using production feedback, Design observability and evaluation stacks, Mentor senior engineers and shape ML talent strategy, Collaborate with product and engineering to generate new business capabilities
Seniority
Staff, hands-on IC with mentorship responsibilities
