Machine Learning Engineer
Core
Design, develop, and optimize machine learning models and generative AI solutions to power data-driven decisions for financial services clients.
Role type
Machine Learning Engineer
Builds
Production ML models and AI solutions for financial institutions
Domain
Financial Services / Generative AI
Deliverable
production ML models
Required skills
Python development, machine learning concepts, feature engineering, model tuning, evaluation, calibration, predictive analytics, prompt engineering, model testing, performance monitoring
Preferred skills
wealth management experience, cloud-based ML platforms, scalable data solutions, workflow automation, agile methodologies
Technologies
Python, LLMs, generative AI
Responsibilities
Design and maintain ML models for business-critical problems; own the model lifecycle from development to deployment; apply predictive analytics and prompt engineering; perform model testing and benchmarking; collaborate with stakeholders to translate requirements into scalable solutions
Seniority
Mid-to-Senior level (5+ years experience)
