We are looking for a talented Machine Learning Engineer to join our Engineering team! Minna connects global banks and fintech with subscription businesses to give consumers self-serve subscription management in-app. Minna is a technology partner to top-tier financial institutions, fintech and subscription businesses, providing subscription management functionality for 50+ million banking and fintech customers across the United States, United Kingdom and Europe. Minna builds the infrastructure that links Subscription Merchants (such as Netflix, Spotify, Amazon) to leading Financial Institutions (Lloyds Bank, ING Belgium, Swedbank to name a few). This connection enables consumers to effortlessly manage their subscriptions by performing actions like canceling, pausing, or changing their plans. At Minna, Product and Engineering work closely together and our organization structure truly empowers our teams, allowing us to solve problems quickly and drive real results. We have a tight bond and collaborate daily on the most highly prioritized improvements. Summary: The Machine Learning Engineer will be responsible for developing and deploying machine learning models to solve complex problems in the financial domain. The ideal candidate will have experience in pattern and subscription identification in financial transactions, experience with LLMs and conversational models would be beneficial. The candidate should also have experience working in the cloud, with products like Google Vertex. Responsibilities: Develop and implement machine learning models to identify patterns of subscriptions in financial transactions. Design and train conversational models for customer service and support applications. Work with GCP/AWS or similar vendors to train and run production ready models. Monitor and evaluate the performance of machine learning models using robust frameworks. Collaborate with product engineers to integrate machine learning models into production systems. Stay up-to-date on the latest developments in machine learning. Qualifications: Masters degree in computer science (or other relevant experience), statistics, or a related field. 3+ years of experience in machine learning. Experience in conversational models. Experience working with cloud based tools, eg databases, notebooks and AI models on GCP/AWS or similar. Strong programming skills in Python or Java. Excellent communication and teamwork skills. Experience in pattern identification in financial transactions would be beneficial.