AI/ML Platform Engineer

AI/ML Platform Engineer developing software applications leveraging AI/ML technology for HP. Collaborating with business units and managing platform tools and services for innovation.

Posted 7/14/2026full-timeSpring • Texas • 🇺🇸 United StatesSeniorLead💰 $147,050 - $230,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and managing software applications, with a strong focus on backend API development using Python and FastAPI, as well as proficiency in cloud platforms like AWS and Azure. Capable of translating complex requirements into actionable plans while ensuring operational readiness and scalability of machine learning models.

Highest-signal resume keywords

Python ProgrammingAWS Certified Machine Learning SpecialtyMachine LearningTerraformAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++ ProgrammingJava ProgrammingApache SparkDeep LearningNatural Language ProcessingPyTorchScikit-learnTensorFlowAlgorithmsBig Data

Soft Skills

CollaborationProblem SolvingCommunication

Tools & Technologies

AWSAzureSageMakerKubernetesCI/CD Tooling

Certifications & Qualifications

AWS Certified Machine Learning Specialty

Industry Keywords

Computer ScienceData ScienceStatisticsMathematicsSoftware Engineering

Tech Stack

Tools & technologies

ApacheAWSAzureJavaKubernetesPythonPyTorchScikit-LearnSparkTensorflowTerraform

About the role

Key responsibilities & impact

Collaborating closely with various business units to provide strategic advice, prototype solutions, and develop and manage software applications tailored for internal use.
Building internal platform tools and services: self-service portals/workbenches, backend APIs (Python/FastAPI), automations and CI/CD tooling.
Diagnosing deployment, networking, endpoint, and configuration issues.
Writing and maintaining Terraform; provisioning and configuring platform resources across AWS and Azure.
Onboarding new teams; translating ambiguous requirements into practical plans and challenging weak designs.
Helping teams productionize models—hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.

Requirements

What you’ll need

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
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

Benefits

Comp & perks

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