Senior AI and Machine Learning Engineer at Hewlett Packard Enterprise

Aguadilla, Puerto Rico, Puerto Rico

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Advanced subject matter expertise in AI and machine learning
Experience developing and programming integrated software algorithms to structure, analyze, and leverage structured and unstructured data
Proficiency with large-scale computing frameworks, data analysis systems, and modeling environments
Skills in machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Ability to formulate descriptive, diagnostic, predictive, and prescriptive insights/algorithms and translate technical specifications into code
Expertise in applying, optimizing, and scaling deep learning technologies and algorithms
Capability to document procedures for installation and maintenance, complete programming, perform testing and debugging, and define/monitor performance metrics
Experience translating customer requirements and industry trends into AI/ML products, solutions, and systems improvements
Ability to solve complex business issues using significant independent judgment
Experience providing expertise/partnership to functional/technical teams, participating in cross-functional initiatives, and potentially leading/mentoring teams
Thrives in a challenging, fast-paced environment leading initiatives across Hybrid Cloud portfolio

Responsibilities

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms; explores and experiments with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions; determines appropriate algorithms, models, and frameworks; architects overall system for scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms, including data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets; continuously monitors and improves model performance and accuracy
Deploys machine learning models into production environments, considering scalability, performance, and security
Integrates models with existing software systems and infrastructure, ensuring smooth operation and interoperability
Monitors performance of deployed models, collects relevant metrics, analyzes data to identify improvements; fine-tunes models, optimizes algorithms, and enhances system performance based on insights
Organizes and leads comprehensive design review sessions, driving discussions to align with project requirements

Skills

Machine Learning

Deep Learning

Statistical Modeling

Data Analysis

Algorithms

Large Scale Computing Frameworks

Hybrid Cloud

Programming

Testing

Debugging

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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