Hewlett Packard Enterprise is looking to advance the way people live and work by connecting, protecting, analyzing, and acting on their data and applications, and this role is designed to contribute to the development of AI/ML products, solutions, and systems improvement projects.
Requirements
- Proficiency in programming languages such as Python, R, or Java is required.
- Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn, is highly beneficial.
- A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods is crucial for building and evaluating machine learning models.
- In-depth knowledge of machine learning algorithms, techniques, and concepts is essential.
- Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis is necessary.
- Experience with SQL and databases and data visualization tools like Matplotlib or Tableau is required.
- 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
Responsibilities
- Designs, develops and implements AI and machine learning models.
- Gathers and analyzes relevant data sets to train and test machine learning (ML) models.
- Optimizing algorithms and models to improve their performance is an essential responsibility for AI and Machine Learning Engineers.
- Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts.
- Keeping accurate and up-to-date AI and machine learning project documentation.
- Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders to ensure that design choices align with project requirements and best practices.
- May be required to interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods.
Other
- Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
- Master's degree is desirable.
- Typically, 0-2 years' experience.
- Must be able to work onsite at an HPE office.
- Must be able to provide updates on progress, discuss challenges, and coordinate efforts with other team members in daily or weekly stand-up meetings.
