AI and Machine Learning Engineer

HPE • Aguadilla, PR

16h • Hybrid

About The Position

Hewlett Packard Enterprise is seeking a Senior AI/ML & Innovation Engineer to lead initiatives across its Hybrid Cloud portfolio in a challenging, fast-paced environment. This role develops and programs integrated software algorithms to structure, analyze, and leverage structured and unstructured data in product and systems applications, using large-scale computing frameworks, data analysis systems, and modeling environments.

The engineer applies machine learning, statistical modeling, and deep learning to improve product and system performance, data management, quality, and accuracy. The role translates customer requirements and industry trends into AI/ML products, solutions, and system improvement projects; converts technical specifications into code; and contributes expertise to HPE products, solutions, and services. It involves substantial independent judgment, partnership with functional and technical project teams, participation in cross-functional initiatives, and potential team leadership and mentoring.

The position conducts research into AI and machine learning developments; designs, builds, optimizes, deploys, and monitors models; integrates them with existing software and infrastructure; and improves their performance using metrics and analysis. The engineer also leads design reviews and meetings, helps establish design and implementation standards, mentors team members, resolves challenges, and presents strategic recommendations to senior stakeholders. The role is hybrid, with an average requirement of two days per week in an HPE office.

Requirements

• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline.
• Typically 4–7 years of experience.
• Deep understanding of machine learning algorithms, including linear regression, decision trees, support vector machines, random forests, neural networks, and reinforcement learning; proficiency in model selection, hyperparameter tuning, and performance evaluation.
• Strong foundation in mathematics and statistics, including linear algebra, calculus, probability theory, and statistical concepts.
• Strong programming skills in Python, R, or Java, including experience developing production-level code.
• Familiarity with software engineering best practices, version control systems such as GitHub, and software development methodologies.
• Strong understanding of GitHub Copilot, Cursor, N8N, vibe coding, Windsurf, or similar technologies.
• Experience with cloud infrastructure such as AWS or Azure.
• Knowledge of open source technologies and Linux.
• Understanding of DevOps and SRE.
• Advanced knowledge and experience in deep learning, including neural network architectures such as convolutional neural networks, recurrent neural networks, and transformers, and techniques such as transfer learning, generative models, and deep learning optimization algorithms.
• Experience conducting research, exploring emerging technologies, and identifying opportunities to apply state-of-the-art techniques to complex problems.
• Excellent communication skills for effective collaboration with cross-functional teams and stakeholders.
• Strong problem-solving and critical-thinking abilities to guide projects, make strategic decisions, and resolve complex technical challenges.
• Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

Nice To Haves

• Knowledge of libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Deep understanding of statistical modeling, data mining, and data visualization.

Responsibilities

• Research and stay current with AI and machine learning technologies, frameworks, algorithms, and emerging techniques; experiment with approaches to solve complex problems and improve models.
• Collaborate with cross-functional teams to understand business requirements, select suitable algorithms and frameworks, and architect scalable, efficient, and robust AI/ML systems.
• Develop, implement, and optimize machine learning models and algorithms, including data preprocessing, feature engineering, model selection, hyperparameter tuning, and training on large datasets.
• Deploy machine learning models in production, considering scalability, performance, and security.
• Integrate models with existing software systems and infrastructure to ensure reliable operation and interoperability.
• Monitor deployed models, collect and analyze metrics, identify improvement opportunities, and fine-tune models and algorithms to improve system performance.
• Organize and lead design reviews, guide discussions toward project requirements and best practices, and mentor and provide feedback to junior and mid-level team members.
• Collaborate with the engineering manager and team lead to establish design and implementation standards and support continuous improvement and project alignment.
• Lead meetings and foster a collaborative, productive team environment.
• Provide technical leadership, mentorship, and guidance to junior team members; proactively address and resolve challenges.
• Develop and deliver strategic presentations and reports to senior stakeholders, providing technical and business insights and recommendations.
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.
• Translate customer requirements and industry trends into AI/ML products, solutions, and system improvement projects.
• Document installation and maintenance procedures; program, test, and debug software; and define and monitor performance metrics.

Benefits

• Comprehensive benefits supporting physical, financial, and emotional wellbeing for employees and their loved ones.
• Programs supporting career development and professional growth, including opportunities to become a subject-matter expert or apply skills in another division.
• Flexible work arrangements to help manage work and personal needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior