Machine Learning Engineer

Our client, a global leader in the financial sector is developing cutting-edge data and AI capabilities that drive growth for the company.As a ML engineer, this is an important, part of the team. You will work with Senior Engineers to find key data patterns and turn them into insights by using predictive modeling, data mining, ML algorithms, and models. You will be responsible for developing scalable solutions to provide data-driven insights.Key Responsibilities:Work with Senior ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, deep learning, and foundational. Experience in areas like classification models, forecasting, uplift modeling, foundational model fine-tuning, etc. is great.Identify growth opportunities in underwriting and risk assessment through AI/ML.Collaborate cross-functionally to drive scalable solutions.Communicate complex concepts and findings to leadership in a clear manner.Required Professional and Technical Expertise:Master's degree in Statistics, Data Science, Mathematics, Computer Science, or related areas. (Ph.D. preferred.)2+ years of experience with advanced analytics techniques such as decision tree, logistic regression, hierarchical regression, neural network, etc.2+ years expert level R and/or Python analytics experience with a proven track record in advanced analyticsHands-on experience with digital and CRM data.Proven ability to understand, cleanse, and integrate massive data.Strong communication.Preferred Professional Technical Expertise:Internship or separate project experience in AI engineering or ML within the insurance or financial services industry.Knowledge of actuarial science.

Created: 2025-01-28