AI/ML Platform Engineer

AI/ML Platform EngineerDescription -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 toolingMCP/gateway integrations and AI-enabled automations and flowsFocus is always on reducing friction for teams adopting the platformCloud infrastructure & troubleshooting (weekly)Writing and maintaining Terraform; provisioning and configuring platform resources across AWS and AzureDiagnosing deployment, networking, endpoint, and configuration issuesEnough depth to reason about deployments and partner with security/networking specialistsCollaboration & enablement (about half the day)Standups, syncs, and planning/project meetingsDesign and architecture reviews; regular PR and code reviewOnboarding new teams; translating ambiguous requirements into practical plans and challenging weak designsModel deployment support (recurring)Helping teams productionize models-hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and KubernetesDocs & platform improvement (ongoing)Documentation, onboarding guides, and reference examplesAd-hoc process and platform improvements-spotting and fixing rough edges proactivelyIn 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 RecommendedFour-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 CertificationsAWS Certified Machine Learning SpecialtyKnowledge & 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* TensorFlowCross-Org Skills* Effective Communication* Results Orientation* Learning Agility* Digital Fluency* Customer CentricityPay & BenefitsThe pay range for this role is $147,050 to $230,850 USD annually with additionalopportunities for pay in the form of bonus and/or equity (applies to UnitedStates of America candidates only). Pay varies by work location, job-relatedknowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leaveUS benefits overview https://hpbenefits.ce.alight.com/The compensation and benefits information is accurate as of the date of thisposting. The Company reserves the right to modify this information at any time,with or without notice, subject to applicable law.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -NoRelocation -NoEqual 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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal” AI/ML Platform EngineerDescription -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 toolingMCP/gateway integrations and AI-enabled automations and flowsFocus is always on reducing friction for teams adopting the platformCloud infrastructure & troubleshooting (weekly)Writing and maintaining Terraform; provisioning and configuring platform resources across AWS and AzureDiagnosing deployment, networking, endpoint, and configuration issuesEnough depth to reason about deployments and partner with security/networking specialistsCollaboration & enablement (about half the day)Standups, syncs, and planning/project meetingsDesign and architecture reviews; regular PR and code reviewOnboarding new teams; translating ambiguous requirements into practical plans and challenging weak designsModel deployment support (recurring)Helping teams productionize models-hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and KubernetesDocs & platform improvement (ongoing)Documentation, onboarding guides, and reference examplesAd-hoc process and platform improvements-spotting and fixing rough edges proactivelyIn 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 RecommendedFour-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 CertificationsAWS Certified Machine Learning SpecialtyKnowledge & 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* TensorFlowCross-Org Skills* Effective Communication* Results Orientation* Learning Agility* Digital Fluency* Customer CentricityPay & BenefitsThe pay range for this role is $147,050 to $230,850 USD annually with additionalopportunities for pay in the form of bonus and/or equity (applies to UnitedStates of America candidates only). Pay varies by work location, job-relatedknowledge, skills, and experience.Benefits:HP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leaveUS benefits overview https://hpbenefits.ce.alight.com/The compensation and benefits information is accurate as of the date of thisposting. The Company reserves the right to modify this information at any time,with or without notice, subject to applicable law.Job -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -NoRelocation -NoEqual 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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”

• 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

The pay range for this role is $147,050 to $230,850 USD annually with additional, 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