Candidates should possess an advanced degree in computer science, mathematics, engineering, or a related field, and demonstrate a strong portfolio of machine learning projects. They should be comfortable working with petabytes of data and possess excellent problem-solving and communication skills.
As a Principal Machine Learning Engineer – Tech Lead, the individual will be responsible for driving the roadmap and building the next generation Machine Learning Platform and Machine Learning Models/Algorithms, designing and building highly scalable systems, and mentoring other ML Engineers within the team. They will also be responsible for executing tests, optimizing machine learning models and algorithms, and collaborating with data scientists, product managers, and other engineers to implement innovative machine learning solutions.
Provides enterprise IT solutions and services
Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.