Principal Engineer - AI/ML at Hewlett Packard Enterprise

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Strong background in applied machine learning approaches and production-level engineering
Comfortable working with petabytes of data
Experience writing crisp design documentation
Experience building, debugging, and maintaining highly available distributed systems
Excellent problem-solving and communication skills
Comfortable collaborating with data scientists, product managers, and other engineers
Passion for creating machine learning products and thinking through implications of solutions
Advanced degree in computer science, mathematics, engineering, or a related field
Strong portfolio of ML projects
Ability to design and build highly scalable systems, machine learning algorithms, and deep learning applications
Ability to execute tests and optimize machine learning models and algorithms
Ability to mentor and guide other ML Engineers in the team

Responsibilities

Drive the roadmap and build the next generation Machine Learning Platform and Machine Learning Models/Algorithms
Design and develop solutions using AI tools and machine-learning models with potential for value and scale at HPE
Be at the forefront of development, research, and implementation of innovative machine learning models and pipelines
Empower developers throughout HPE to build better ML products more quickly

Skills

Cloud Computing

Hybrid Cloud

Prototyping

System Design

Software Development

Data Engineering

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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