Financial Enterprise Data Scientist
Core
Lead end-to-end AI and machine learning solutions for complex customer needs in the financial sector, focusing on generative AI, agentic AI systems, and NLP.
Role type
Senior IC machine-learning engineer (agentic AI & NLP)
Builds
Production-grade agentic AI systems, RAG pipelines, and client integrations
Domain
Financial services + Generative AI / NLP
Deliverable
production ML models
Required skills
Generative AI, Natural Language Processing (NLP), Agentic AI orchestration, Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, LLMOps, Cloud platforms (AWS, Azure, GCP), Python, PyTorch, TensorFlow, Hugging Face, Vector databases, Distributed data systems
Preferred skills
Ph.D. in relevant field, Experience with frontier/open-weight models, Multi-agent orchestration frameworks
Technologies
LangGraph, AutoGen, CrewAI, Model Context Protocol (MCP), Pinecone, Weaviate, Elasticsearch, Apache Spark, Apache Kafka, Airflow, LangSmith, RAGAS, Arize
Responsibilities
Lead and execute complex customer engagements across the Asia-Pacific region; Design and implement AI/ML solutions integrating with client infrastructure; Develop strategies for scaling AI solutions on cloud platforms; Establish LLMOps practices for safe deployment; Lead and mentor junior team members
Seniority
Senior, hands-on IC with leadership responsibilities