AI / Machine Learning Engineer
Core
Develop AI/ML solutions for real-time fraud detection and AML, focusing on generative AI, agentic systems, and advanced predictive modeling.
Role type
Senior AI/ML Engineer (Generative AI & Agentic Systems)
Builds
Production ML models, agentic AI systems, and low-latency transaction processing platforms for global financial institutions.
Domain
Financial Crime Technology (Fraud Detection, AML)
Deliverable
production ML models
Required skills
Generative AI & Agentic Systems (LLM, RAG, MCP, multi-agent systems), Supervised & Unsupervised Machine Learning, Python (Scikit-learn, Pandas, NumPy), Deep Learning (TensorFlow, PyTorh, Keras), SQL, Data Analysis & Visualization, CI/CD pipelines, Statistics
Preferred skills
AWS, MLOps, Model Optimization (SFT, quantization, distillation), REST APIs, Docker
Technologies
LangChain, LangGraph, Google ADK, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, SQL, GitHub Actions
Responsibilities
Design AI components and agentic systems, develop/train/validate ML models, perform exploratory data analysis, optimize LLMs, test and evaluate model performance, diagnose incidents, implement MLOps best practices
Seniority
Senior, hands-on IC