AI / Machine Learning Engineer
Core
Develop AI/ML solutions for real-time fraud detection and AML, focusing on generative AI, agentic systems, and LLM optimization.
Role type
Senior IC Machine Learning Engineer (Generative AI & Agentic Systems)
Builds
Production ML models and AI agent systems for financial crime prevention
Domain
Financial services / AI / Machine Learning
Deliverable
production ML models
Required skills
Generative AI & Agentic Systems (LLM, RAG, MCP, multi-agent systems), Supervised & Unsupervised ML, Python (Scikit-learn, Pandas, NumPy), Deep Learning (TensorFlow, PyTorh, Keras), SQL, Data Analysis & Visualization, CI/CD pipelines, Git
Preferred skills
API REST, Docker, AWS, SFT, quantization, distillation, MLOps
Technologies
LangChain, LangGraph, Google ADK, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, SQL, GitHub Actions
Responsibilities
Analyze requirements and design AI components, Develop/train/validate ML models, Perform exploratory data analysis and feature selection, Design and configure AI agent systems, Fine-tune and optimize LLMs, Test and evaluate model performance and robustness, Diagnose issues and optimize existing models, Implement Data Science and MLOps best practices
Seniority
Senior, hands-on IC
