• Job Description

  Req#: 3139154
  Artificial Intelligence/Machine Learning Engineer

  Description -

  Job Summary
  The primary responsibility of this role is to specialize in the development and deployment of machine learning models that contribute to innovation and business value. This includes researching and implementing suitable AI/ML algorithms and tools, conducting tests and evaluations, and retraining systems as needed. The role demands hands-on experience with Large Language Models (LLMs) and APIs, encompassing cost calculation and budgeting at scale. It is also responsible for deploying models in production environments and facilitating their seamless integration.
  
  Responsibilities

  • Develops integrated software solutions for AI/ML models.

  • Trains and validates models using evaluation metrics.

  • Optimizes hyperparameters to improve model performance.

  • Deploys models ensuring scalability, reliability, and efficiency.

  • Monitors and updates deployed models to adapt to changing data.

  • Designs ML systems, experiments with algorithms, and trains systems for efficiency.

  • Manages technical requirements, cost estimation, and budgeting for AI/ML solutions.

  • Works with large language models (LLMs) APIs.

  • Develops and maintains scalable ML pipelines.

  • Works with CI/CD teams for seamless model deployment.

  • Collaborates with research and engineering teams on automated model training.

  • Applies ML and statistical modeling to business or research problems.

  
  Education & Experience Recommended

  • Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.

  • Typically has 2-4 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with little or no work experience.

  
  Preferred Certifications

  • AWS Certified Machine Learning Specialty

  • Microsoft Certified: Azure AI Engineer Associate

  • Databricks Certified Professional Data Scientist

  
  Knowledge & Skills
  • Agile Methodology
  • Algorithms
  • Amazon Web Services
  • Apache Spark
  • Artificial Intelligence
  • Automation
  • Big Data
  • Cluster Management
  • Computer Science
  • Data Science
  • Deep Learning
  • Job Orchestration
  • Machine Learning
  • Microsoft Azure
  • Natural Language Processing
  • Python (Programming Language)
  • PyTorch (Machine Learning Library)
  • Scikit-learn (Machine Learning Library)
  • Software Engineering
  
  Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  
  Impact & Scope
  Impacts multiple teams and may act as a project leader providing direction to team activities and facilitates information validation and team decision making process.
  
  Complexity
  Responds to moderately complex issues within established guidelines.
  
  Disclaimer
  This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

  Job -

  Software

  Schedule -

  Full time

  Shift -

  No shift premium (United States of America)

  Travel -

  No

  Relocation -

  Yes

  Equal Opportunity Employer (EEO) -

  HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

  Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

  If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

• About the company

  1476929 HP Inc. It was formed on November 1, 2015, renamed from the personal computer and printer divisions of the original Hewlett-Packard Company, with that company's enterprise product and business services divisions becoming Hewlett Packard Enterpr...

Notice