AI and ML Solution Architect

AI and ML Solution ArchitectThis role has been designed as Hybrid with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. We have the flexibility to manage our work and personal needs. 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. 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.

Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. 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. 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. Works collaboratively with the engineering manager and team lead to set design and implementation standards, ensuring continuous improvement and alignment with project goals.
Applies and leverages data mining, data modeling, natural language processing, and machine learning to extract and analyze information from datasets.
Bachelors or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
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. Understanding and developing complex machine learning models and algorithms.
Proficiency in programming languages such as Python, R, or Java is expected. Experience developing production-level code and familiarity with software engineering best practices, version control systems (e.g., Git), and software development methodologies are also required. Advanced knowledge and experience in deep learning. Understanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning.
Actively staying updated with the latest AI and machine learning research advancements. Possess strong problem-solving and critical thinking abilities to guide projects, make strategic decisions, and solve complex technical challenges.
Strong programming skills, with expertise in Python, R, or Java, are necessary. Experience with popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit is essential.
A deep understanding of statistical modeling, data mining, and data visualization is highly preferred.
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We have the flexibility to manage our work and personal needs. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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