Senior Ai And Machine Learning Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
Puerto Rico, Aguadilla

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

Save Job

Apply Position

Job Description:

Senior AI/ML & Innovation Engineer who will lead initiatives across Hybrid Cloud portfolio. Responsibilities include developing software algorithms, improving product performance, designing scalable solutions, and collaborating with cross-functional teams to implement best practices in machine learning technologies.

Job Responsibility:

Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
Explore and experiment 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
Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms
This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets
Continuously monitor and improve model performance and accuracy
Deploys machine learning models into production environments, considering scalability, performance, and security considerations
Integrate models with existing software systems and infrastructure, ensuring smooth operation and interoperability
Monitors the performance of deployed models, collects relevant metrics, and analyzes data to identify areas for improvement
Based on insights gained from monitoring and analysis, fine-tune models, optimize algorithms, and enhance system performance
Organizes and leads comprehensive design review sessions, driving discussions to align with project requirements and best practices
Mentor and provide feedback to junior and mid-level team members
Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals
Regularly leads meetings, fostering a collaborative and productive team environment
Develops and delivers strategic presentations and reports to senior stakeholders, demonstrating a deep understanding of technical and business aspects
Apply and leverage data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.

Requirements:

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 4-7 years’ experience
Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
Proficient in model selection, hyperparameter tuning, and evaluating model performance using appropriate metrics
A strong foundation in mathematics and statistics
In-depth knowledge of linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Github), and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of DevOps, SRE
Understanding and developing complex machine learning models and algorithms
Knowledge of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Actively staying updated with the latest AI and machine learning research advancements.

Nice to have:

Experience conducting research, exploring emerging technologies
Identifying opportunities to apply state-of-the-art techniques to solve complex problems
A deep understanding of statistical modeling, data mining, and data visualization.

What we offer:

Health and wellbeing programs to support physical, financial, and emotional wellbeing
Personal and professional development programs
Comprehensive suite of benefits
Inclusive work culture.

Additional Information:

Job Posted:
September 12, 2025

Employment Type:

Fulltime

Work Type:

On-site work

View All Jobs In This Company

Job Link Share:

Senior Ai And Machine Learning Engineer