Hewlett Packard Enterprise · 11 hours ago
AI and Machine Learning Engineer
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking an AI and Machine Learning Engineer to design, develop, and implement machine learning models and algorithms, collaborating with cross-functional teams to solve specific business problems.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
Primary responsibility will be to design, develop, and implement machine learning models and algorithms. This involves researching, experimenting, and selecting appropriate models and techniques to solve specific business problems
Responsible for preparing and pre-processing large datasets for machine learning tasks. This includes data cleaning, normalization, feature extraction, and transformation to ensure the data is suitable for training and testing machine learning models
Will train machine learning models using appropriate algorithms and frameworks. This involves selecting and optimizing hyperparameters, cross-validating the models, and evaluating their performance using various metrics such as accuracy, precision, recall, and F1-score
Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to understand business requirements, gather feedback, and iterate on models and solutions. Effective communication and the ability to explain complex concepts to non-technical stakeholders are crucial in this role
Contribute to small sections of design review sessions, presenting your work and gathering feedback from the engineering manager or team leader
Deals with real-world datasets, understand data quality issues, and apply appropriate methods to prepare data for machine learning tasks
Provides feedback to peers during the design and implementation phases while actively seeking guidance from the engineering manager or team leader
Contribute to stand-up meetings by identifying potential issues early and proposing preliminary solutions
Prepare comprehensive presentations and reports, occasionally presenting them to stakeholders with supervision and guidance from the engineering manager or team leader, ensuring clarity and effectiveness in communication
May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods
Qualification
Required
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 2-4 years' experience
A solid understanding of mathematics, including linear algebra, calculus, and probability theory
Proficiency in programming languages such as Python, R, or Java
Knowledge of relevant libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras
Experience with SQL for data manipulation and database querying
Hands-on experience in developing and implementing machine learning models
Practical experience with data cleaning, data pre-processing techniques, and feature engineering
Experience designing and developing machine learning models using algorithms such as linear regression, decision trees, random forests, support vector machines, or deep learning models
Familiarity with model evaluation techniques, hyperparameter tuning, and cross-validation
Proficiency in software engineering principles and practices
Experience with version control systems (e.g., Git)
Strong communication skills, both technical and non-technical
Preferred
Master's degree is desirable
Experience with deploying machine learning models in production environments
Experience with software development methodologies
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Recent News
2026-02-03
2026-01-20
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