Machine Learning Engineer Ii

.Machine Learning Engineer II page is loaded Machine Learning Engineer II Apply locations Remote, Portugal time type Full time posted on Posted 2 Days Ago job requisition id R27236 Job Description Zendesk's people have one goal in mind: to make Customer Experience better. Our products help more than 125,000 global brands (AirBnb, Uber, JetBrains, Slack, among others) make their billions of customers happy, every day. Our Enterprise Machine Learning team enables better decision making throughout the business. The way in which we support our customers, complimenting our Product capabilities, is data driven and amplified through the use of ML. We use the latest trends in Machine Learning and AI algorithms to help us on that mission, and we're passionate about empowering our business teams. As an Engineer on our team, you'll be responsible for developing products in collaboration with our ML Scientists and other ML engineers, and delivering high-quality ML and AI products to our customers, at a scale that most companies only dream of. This position is part of the Enterprise Data & Analytics team, a high-performance group chartered with delivering a beautifully simple analytics foundation and service that allows Zendesk to scale with clearly defined, consistent metrics and a data architecture that provides all business operations with high quality and timely analytics for optimal decision making. We need a dedicated individual to derive valuable business insights and models which will have a direct impact on our business. Who you are: Empathetic to the analytic needs of data scientists, business stakeholders, product owners, engineers, and analysts, the right candidate has the ability to translate objectives into usable, practical solutions and ultimately develop comprehensive technical requirements Adheres to established protocols but can adapt to change as needed Willing to improve existing systems, make recommendations, and is not afraid to challenge what we believe to be true Natural curiosity to discover nuances in technology and data Deep passion for accuracy, and resourcefulness to verify assumptions Proactively engage with various stakeholders and engineers and build strong relationships Respectful of established protocols but you also drive change as our business evolves over time