Applied Machine Learning Engineer

As an Applied Machine Learning Engineer, you will be responsible for developing and deploying cutting-edge machine learning models to solve real-world problems. You will work closely with stakeholders to understand their business needs, then design, build, and deploy scalable machine learning solutions. Key responsibilities include: - Developing and deploying machine learning models to solve complex business problems - Collaborating with cross-functional teams to understand requirements and translate them into ML solutions - Optimizing model performance and scalability through techniques like model tuning, data augmentation, and distributed training - Automating the end-to-end ML lifecycle from data ingestion to model deployment - Implementing robust testing and monitoring frameworks to ensure model accuracy and reliability in production - Staying up-to-date with the latest advancements in machine learning and exploring novel techniques to continuously improve our solutions

Nutanix is a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, making cloud computing simple by natively converging compute, virtualization and storage into a resilient, software-defined solution. The Nutanix enterprise cloud platform leverages web-scale engineering and consumer-grade design to natively converge all infrastructure services, including IT operations and security - empowering its customers to focus on their business, not their infrastructure.