Lead, Machine Learning Engineer, GFT
Core
Lead end-to-end AI/ML initiatives to solve core business problems in compliance (trade surveillance, regulatory insights) by leveraging large datasets and advanced algorithms.
Role type
Senior Manager, AI and ML (hands-on IC with leadership)
Builds
Production ML models, Generative AI solutions (RAG, LLM agents, NLP pipelines), and scalable ML systems for compliance use cases.
Domain
Financial Services / Compliance / Regulatory Technology
Deliverable
production ML models
Required skills
Python, Machine Learning algorithms, NLP, Generative AI, RAG architectures, MLOps, RESTful APIs, Vector databases, Data engineering, Model deployment
Preferred skills
Autonomous AI agents, Financial services compliance experience, Big Data (PySpark, Scala), Deep Learning frameworks (TensorFlow, PyTorch)
Technologies
Python, numpy, pandas, scikit-learn, FastAPI, Flask, LangChain, LangGraph, AutoGen, PySpark, Scala, TensorFlow, PyTorch, Git, Linux
Responsibilities
Translate business problems into ML problems, lead AI/ML lifecycle from ideation to production, design and implement GenAI solutions, provide technical leadership and mentorship, collaborate with engineering and risk teams, evaluate emerging AI/ML technologies
Seniority
Senior Manager, hands-on IC with mentorship responsibilities