AI/ML Platform Engineer at HP – Spring | Jobyssey

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:

HP offers a comprehensive benefits package for this position, including:

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 flexible 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 -

Relocation -

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 or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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