AI & Data Analytics

HP Inc.

Quick summary

Work type
On-site
Location
Spring, TX
Posted
4 days ago
Closes
Dec 22, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $168k
$114k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $126,800–$209,900.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 92 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 89 roles with salary data.

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At a glance

TL;DR · AI & Data Analytics

This senior AI/ML specialist role within the Services team involves designing and deploying advanced machine learning models to solve complex business problems. Day-to-day responsibilities include developing scalable data pipelines and intelligent systems, collaborating with cross-functional teams, and mentoring junior members. The ideal candidate will have expertise in machine learning techniques, feature engineering, model optimization, and cloud platforms like Azure or AWS. They should also be proficient in SQL, distributed computing frameworks such as PySpark, and agile methodologies. This role requires a deep understanding of data-driven solutions to deliver impactful insights across the organization, ensuring alignment with enterprise standards and best practices.

What you'll do

  • Designs and develops advanced AI/ML models to solve complex business problems.
  • Develops scalable data pipelines and ML workflows on modern cloud platforms.
  • Integrates technical expertise with business understanding to deliver actionable insights.
  • Defines project scope, plans, and deliverables ensuring alignment with objectives.
  • Mentors junior team members in adopting data-driven solutions and best practices.

What we're looking for

  • Demonstrated proficiency in designing and deploying machine learning models for complex problems.
  • Extensive experience developing scalable data pipelines and ML workflows on modern cloud platforms.
  • Applies technical expertise to deliver actionable insights from model outputs, collaborating with stakeholders.
  • Develops standards and best practices for consistent governance of model development and evaluation.
  • Typically requires 5–10 years of experience in machine learning or data science roles in enterprise environments.

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