Machine Learning Engineer

We're working with a leading financial institution that is at the forefront of leveraging AI and machine learning to transform banking and create personalized customer experiences.The Role Define and drive technical strategy and roadmap for a Personalization Platform. Partner with Product, Data Science, Cloud Infrastructure, and Machine Learning Platform teams. Develop and maintain a flexible, scalable rules engine for business-driven personalization logic. Design, build, and maintain robust ML infrastructure and pipelines. Architect low-latency, event-driven systems for real-time dynamic personalization. Drive the evolution of MLOps practices by building automated, metrics-backed deployment workflows.What You'll Need Bachelor's degree. At least 10 years of experience designing and building data-intensive solutions using distributed computing. At least 7 years of experience programming in C, C++, Python, or Scala. At least 4 years of experience with the full ML development lifecycle using modern technology. Strong foundation in engineering and mathematics. Passion for staying abreast of the latest research and applying novel techniques in production.What's On Offer Opportunity to work on challenging problems that will help change banking for good. Be at the forefront of enterprises leveraging AI. Contribute to world-class applied science and engineering teams. Influence architecture, engineering standards, and cross-team strategies.Apply via Haystack today!