AI and Machine Learning Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
Puerto Rico, Aguadilla

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are seeking AI/ML & Innovation Engineer who will be leading initiatives across Hybrid Cloud portfolio and thrives on a challenging and fast-paced environment. Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications. Can work with large scale computing frameworks, data analysis systems, and modeling environments. Uses machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy. Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms and translates technical specifications into code. Applies, optimizes and scales deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations. Documents procedures for installation and maintenance, completes programming, performs testing and debugging, defines and monitors performance metrics. Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

Job Responsibility:

Design, develop, and implement machine learning models and algorithms
Prepare and pre-process large datasets for machine learning tasks
Train machine learning models using appropriate algorithms and frameworks
Collaborate with cross-functional teams
Contribute to design review sessions
Deals with real-world datasets
Provides feedback to peers
Contribute to stand-up meetings
Prepare comprehensive presentations and reports
Interpret and report data findings
Maintain or update specific business intelligence tools, databases, dashboards, systems, or methods

Requirements:

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master’s degree is desirable
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
Understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
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, deciding 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), software development methodologies, and deploying machine learning models in production environments
Strong communication skills, both technical and non-technical

Nice to have:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
June 17, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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AI and Machine Learning Engineer