Principal Engineer - AI/ML at Hewlett Packard Enterprise

Hyderabad, Telangana, India

Hewlett Packard Enterprise Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

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.

Responsibilities

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.

Skills

AI
ML
Cloud Platform
Green Lake
Cloud Development
Data Engineering
Solution Design
Deployment
Monitoring
Support

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

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.

Houston, TexasHeadquarters
1939Year Founded
IPOCompany Stage
Hardware, Enterprise Software, AI & Machine LearningIndustries
10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.
Competition from startups like Flywheel could impact HPE's AI and cloud services.
HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.
HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.
HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.
OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.
Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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