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AI and Machine Learning Engineer

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Hewlett Packard Enterprise

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Location:
United States, Spring

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

79700.00 - 183200.00 USD / Year
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Job Description:

This role involves designing, developing, and optimizing AI and machine learning models, collaborating with cross-functional teams, and keeping accurate documentation. The role also requires preparing reports, presenting findings, and participating in design reviews and team discussions.

Job Responsibility:

  • Designs, develops and implements AI and machine learning models
  • Gathers and analyzes relevant data sets to train and test machine learning (ML) models
  • Optimizes algorithms and models to improve their performance
  • Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
  • Keeps accurate and up-to-date AI and machine learning project documentation
  • Prepares reports and presents findings or recommendations to stakeholders
  • Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
  • Actively seeks and incorporates feedback from the engineering manager or team leader
  • Attends daily or weekly stand-up meetings
  • Prepares and delivers detailed presentations and reports to stakeholders
  • May interpret and report data findings and maintain or update specific business intelligence tools, databases, dashboards, systems, or methods

Requirements:

  • Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • 0-2 years’ experience
  • Proficiency in programming languages such as Python, R, or Java
  • Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
  • A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
  • In-depth knowledge of machine learning algorithms, techniques, and concepts
  • Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
  • Experience with SQL and databases and data visualization tools like Matplotlib or Tableau
What we offer:
  • Comprehensive health & wellbeing benefits
  • Investment in personal & professional development
  • Inclusive work environment celebrating individual uniqueness
  • Flexibility to manage work and personal needs

Additional Information:

Job Posted:
August 28, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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