AI/ML Platform Engineer
Description - We are a dynamic centralized platform team dedicated to harnessing cutting-edge AI/ML technology, particularly in the realm of Generative AI and large language models, to empower HP and drive innovation. Collaborating closely with various business units, we provide strategic advice, prototype solutions, and develop and manage software applications tailored for internal use.
Days split roughly evenly between hands-on building and collaboration/enablement, driven by a mix of roadmap work and incoming requests. Expect to shift context often.
Building (largest share of the day) Internal platform tools and services: self-service portals/workbenches, backend APIs (Python/FastAPI), automations and CI/CD tooling

MCP/gateway integrations and AI-enabled automations and flows

Focus is always on reducing friction for teams adopting the platform

Cloud infrastructure & troubleshooting (weekly) Writing and maintaining Terraform; provisioning and configuring platform resources across AWS and Azure

Diagnosing deployment, networking, endpoint, and configuration issues

Enough depth to reason about deployments and partner with security/networking specialists

Collaboration & enablement (about half the day) Standups, syncs, and planning/project meetings

Design and architecture reviews; regular PR and code review

Onboarding new teams; translating ambiguous requirements into practical plans and challenging weak designs

Model deployment support (recurring) Helping teams productionize models—hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes
Docs & platform improvement (ongoing) Documentation, onboarding guides, and reference examples

Ad-hoc process and platform improvements—spotting and fixing rough edges proactively

In short:



a builder-first role with a strong collaborative and enablement component—someone who moves fluidly between writing code, reviewing work, troubleshooting infrastructure, and guiding architectural decisions.
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 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Certifications AWS Certified Machine Learning Specialty
Knowledge & Skills Agile Methodology
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Automation
Big Data
C++ (Programming Language)
Computer Science
Data Science
Deep Learning
Java (Programming Language)
Machine Learning
Microsoft Azure
Natural Language Processing
Python (Programming Language)
PyTorch (Machine Learning Library)
Scikit-learn (Machine Learning Library)
Software Engineering
TensorFlow
Cross-Org Skills Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
Health insurance
Dental insurance




Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional adaptable paid vacation and sick leave
US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job - Software
Schedule - Full time
Shift - No shift premium (United States of America)
Travel - No
Relocation - No
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.
For more information, review HP’s EEO Policy (https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225) or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal (http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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📌 AI/ML Platform Engineer (Centro)
🏢 Hp
📍 Centro