Machine Learning Engineer

Join Zeta as a Machine Learning Engineer to work on complex business problems by researching and implementing ML/DL solutions.

Detailed Overview

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. Our flagship processing platform, Zeta Tachyon, is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities. Zeta is actively working with the largest banks and fintechs globally, transforming customer experiences for multi-million card portfolios. **About the Role:** As a Machine Learning Engineer at Zeta, you will research and test novel machine learning approaches and create predictive models and algorithms to solve core business problems. You will work closely with engineering and product development teams to build and test ML/DL solutions and own the life cycle of ML operations, including data processing, model training, hyperparameter tuning, deployment, model management, and observability. **Responsibilities:** - Understand and analyze complex business problems - Research, process, and analyze structured and unstructured data - Organize and present information using data visualization techniques - Collaborate with engineering and product teams to build and test ML/DL solutions - Own the entire life cycle of ML operations from data processing to model observability **Skills:** - Strong knowledge of supervised and unsupervised ML techniques - Hands-on experience with classification, regression, pattern recognition, reinforcement learning, and optimization techniques - Proficiency in core programming languages such as Java, C++, and Python - Updated with the latest trends in the machine learning community - Strong analytical and mathematical skills with business acumen **Experience and Qualifications:** - Bachelor's degree in engineering **Equal Opportunity:** Zeta is an equal opportunity employer that celebrates diversity and promotes inclusivity. We encourage applicants from all backgrounds, cultures, and communities to apply, believing that a diverse workforce drives success.