Hewlett Packard Enterprise
SeniorAIandMachineLearningEngineer
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“Senior AI and Machine Learning Engineer at Hewlett Packard Enterprise. Skills: Machine learning, Deep learning, Algorithm development. Develop integrated software algorithms. Structure data”
What You'll Achieve.
Turn insights into outcomes
Industry & Context.
Problem-solving abilities; Critical thinking abilities; Solve complex problems
What They're Looking For.
Must Have
Proficient in model selection, Proficient in hyperparameter tuning, Proficient in evaluating model performance, In-depth knowledge of linear algebra, In-depth knowledge of calculus, In-depth knowledge of probability theory, In-depth knowledge of statistical concepts, 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 software development methodologies, 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, 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, Monitor model performance, Improve model performance, Deploy machine learning models, Integrate models with existing systems, Monitor performance of deployed models, Collect relevant metrics, Analyze data, Fine-tune models, Optimize algorithms, Enhance system performance, Organizes design review sessions, Leads design review sessions
Nice to Have
Knowledge of TensorFlow, Knowledge of PyTorch, Knowledge of sci-kit, Knowledge of Keras, Deep understanding of statistical modeling, Deep understanding of data mining, Deep understanding of data visualization
What You'll Do.
Develop integrated software algorithms
Work with large scale computing frameworks
Work with data analysis systems
Work with modeling environments
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 capability to visualize
Give computers capability to learn
Give computers capability to respond
Document procedures for installation
Document procedures for maintenance
Define performance metrics
Monitor performance metrics
Translate customer requirements
Translate industry trends
Develop AI/ML products
Develop AI/ML solutions
Stay updated with AI research
Stay updated with ML research
Explore emerging technologies
Identify opportunities for techniques
Solve complex problems
Collaborate with cross-functional teams
Understand business requirements
Architect overall system
Implement machine learning models
Optimize machine learning models
Train models on large datasets
Monitor model performance
Improve model accuracy
Deploy models into production
Consider scalability for deployment
Consider performance for deployment
Consider security for deployment
Integrate models with systems
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
How You'll Work.
Team & Collaboration
Cross-functional teams; Functional teams; Technical project teams; Cross-functional initiatives
Communication Scope
Communication skills
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:** **_Job Family Definition:_** 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, so
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