Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is onsite.
The role requires a strong background in applied machine learning approaches and production-level engineering, excellent problem-solving and communication skills, comfort working with data scientists, product managers, and other engineers, and a passion for creating machine learning products.
This information is not specified in the job description.
HPE's culture fosters innovation, values diverse backgrounds, and supports work-life flexibility, while being a force for good, making bold moves together, and offering opportunities for career growth and development.
A strong candidate has a strong background in applied machine learning and production-level engineering, excellent problem-solving and communication skills, comfort collaborating with data scientists, product managers, and engineers, and a passion for creating ML products.
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.