AI and Machine Learning Engineer III - Spring - Hewlett Packard Enterprise Development LP

    $120,500 - $276,500 (USD) per year
    Description
    AI and Machine Learning Engineer III
    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.
    This role has been designated as 'Remote/Teleworker', which means you will primarily work from home.
    Job Description
    Develops integrated software algorithms to structure, analyze and leverage structured and unstructured data in product systems applications. Works with large scale computing frameworks, data analysis systems modeling environments. Uses machine learning statistical modeling techniques to improve system performance management quality accuracy Documents procedures for installation maintenance completes programming performs testing debugging defines monitors performance metrics Contributes customer requirements industry trends AI ML products solutions improvement projects Responsibilities
    • Conducts advanced research AI machine learning Stays up date latest advancements field Explores emerging technologies identifies opportunities cutting-edge techniques solve complex problems
    • Designs architecting AI solutions complex problems Analyzes business constraints proposes appropriate machine learning models algorithms Considers scalability maintainability while designing solution Provides technical guidance mentorship junior team members Shares best practices reviewing code designs helping team members overcome technical challenges Participates technical discussions provides thought leadership organization.
    Additionally responsible evaluating integrating third-party tools services enhance capabilities AI solutions Facilitates design review sessions alignment project requirements best practices Mentors junior team members during review sessions Collaborates engineering manager refine iterating design implementation strategies Constructive feedback peers Partakes coordinating meetings ensuring coordination communication among team members Independently prepares delivers detailed presentations reports stakeholders Translates complex concepts understandable terms non-technical audiences May interpret report data findings maintains updates specific business intelligence tools databases dashboards methods Where applicable may involved design development solutions application problems system administration issues network concerns Education Experience Required Bachelor degree computer science engineering quantitative discipline Typically 3+ years experience data engineering role Years coding Python required SQL infrastructure environment AWS Databricks preferred Media knowledge skills Deep understanding linear regression decision trees support vector machines random forests deep neural networks reinforcement learning Model selection hyperparameter tuning evaluates model performance suitable metrics Strong foundation mathematics statistics Linear algebra calculus probability theory concept development models Speaks multiple programming languages R Java Familiarity production-level code writing software methodologies version control Git Advanced knowledge experience recurrent neural networks transformers transfer generative optimization Hand-on updating latest AI ML research developments Conducting exploring new innovative areas practical use identify state-of-the-art approaches relevant problem solving necessary skillset Excellent verbal written complementary effective collaboration cross-functional teams Team Lead continually seeks stretching challenging milestones Outcomes regular basis Actively brainstorm reaches conclude clear action plans evaluate final results Conclusion

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