Hewlett Packard Enterprise
SeniorAIandMachineLearningEngineer
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“Senior AI and Machine Learning Engineer at Hewlett Packard Enterprise. Skills: AI, Machine Learning, Deep Learning, Algorithm Development. Develop integrated software algorithms. Program integrated software algorithms”
What You'll Achieve.
Turn insights into outcomes; Improve product performance; Improve system performance; Improve data management; Improve data quality; Improve data accuracy
Industry & Context.
Problem-solving; Critical thinking; Solve complex problems; Solve complex technical challenges
What They're Looking For.
Must Have
Proficient in model selection, Proficient in hyperparameter tuning, Proficient in evaluating model performance, Proficiency in Python, Proficiency in R, Proficiency in Java, Experience developing production-level code, Familiarity with software engineering best practices, Familiarity with version control systems, Familiarity with Git, Familiarity with software development methodologies, Experience with TensorFlow, Experience with PyTorch, Experience with sci-kit, Experience with Keras, Advanced knowledge in deep learning, Understanding advanced neural network architectures, Understanding advanced techniques, Experience conducting research, Experience exploring emerging technologies, Experience identifying opportunities, Excellent communication skills, Possess problem-solving abilities, Possess critical thinking abilities, Programming skills in Python, Programming skills in R, Programming skills in Java, Experience with TensorFlow, Experience with PyTorch, Experience with sci-kit, Develops machine learning models, Implements machine learning models, Optimizes machine learning models, Data pre-processing, Feature engineering, Model selection, Hyperparameter tuning, Training on large datasets, Continuously monitor model performance, Continuously improve model performance, Deploy machine learning models, Integrate models with existing systems, Monitor performance of deployed models, Collect relevant metrics, Analyze data for improvement, Fine-tune models, Optimize algorithms, Enhance system performance, Organizes design review sessions, Leads design review sessions
Nice to Have
Deep understanding of statistical modeling, Deep understanding of data mining, Deep understanding of data visualization, Knowledge of linear algebra, Knowledge of calculus, Knowledge of probability theory, Knowledge of statistical concepts, Understanding complex machine learning models, Developing complex machine learning models, Understanding deep learning algorithms, Developing deep learning algorithms, Understanding convolutional neural networks, Understanding recurrent neural networks, Understanding transformers, Understanding transfer learning, Understanding generative models, Understanding optimization algorithms for deep learning
What You'll Do.
Develop integrated software algorithms
Program integrated software algorithms
Analyze structured data
Leverage structured data
Analyze unstructured data
Leverage unstructured data
Use machine learning techniques
Use statistical modeling techniques
Improve product performance
Improve system performance
Improve data management
Improve data accuracy
Formulate descriptive insights
Formulate diagnostic insights
Formulate predictive insights
Formulate prescriptive insights
Translate technical specifications
Apply deep learning technologies
Optimize deep learning technologies
Scale deep learning technologies
Give computers visualization capability
Give computers learning capability
Give computers response capability
Document installation procedures
Document maintenance procedures
Define performance metrics
Monitor performance metrics
Translate customer requirements
Translate industry trends
Develop AI/ML products
Develop AI/ML solutions
Improve systems projects
Explore emerging technologies
Identify opportunities for techniques
Apply state-of-the-art techniques
Solve complex problems
Collaborate with cross-functional teams
Understand business requirements
Design AI/ML solutions
Determine appropriate algorithms
Determine appropriate models
Determine appropriate frameworks
Architect overall system
Develop machine learning models
Implement machine learning models
Optimize machine learning models
Train models on datasets
Monitor model performance
Improve model performance
Deploy machine learning models
Consider scalability for deployment
Consider performance for deployment
Consider security for deployment
Integrate models with systems
Integrate models with infrastructure
Ensure smooth operation
Ensure interoperability
Monitor deployed model performance
Collect relevant metrics
Analyze data for improvement
Enhance system performance
Organize design review sessions
Lead design review sessions
Drive discussions for alignment
How You'll Work.
Team & Collaboration
Cross-functional teams; Functional teams; Technical project teams; Cross-functional initiatives
Communication Scope
Communication skills
Process & Methodology
Project teams
Full Job Description
Senior AI and Machine Learning Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. **Job Description:** 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. **_Management Level Definition:_** Contributions impact technical components of HPE products, solutions, or services regularl
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