AI/ML Platform Engineer: Build & Deploy GenAI Pipelines

HP

Spring (TX)

On-site

USD 147,000 - 231,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Life insurance
Generous paid time off

Job summary

HP is seeking a senior builder-focused software/platform engineer to advance internal AI/ML platforms, integrating generative AI capabilities and large language models across HP business units. You will shift between coding, reviews, troubleshooting, and architectural guidance.

The role emphasizes hands-on development, collaboration, and enabling teams to adopt corrective, scalable platform solutions; expect cloud and AI tooling across AWS/Azure, Kubernetes, and SageMaker environments.

Qualifications

  • Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline or commensurate work experience.
  • Typically has 7-10 years of work experience, in programming languages, machine learning, algorithms, statistics, or related field.
  • AWS Certified Machine Learning Specialty is preferred.

Responsibilities

  • Develop internal platform tools and services (Python/FastAPI, CI/CD).
  • Manage Terraform and cloud provisioning on AWS and Azure.
  • Collaborate through design reviews, onboarding, and architecture discussions.
  • Assist productionization of models across SageMaker, Bedrock, Azure ML, and Kubernetes.
  • Create and maintain documentation and onboarding guides.

Skills

Agile Methodology
Algorithms
Artificial Intelligence
Automation
Big Data
Data Science
Machine Learning
Python
Java
C++
TensorFlow
PyTorch
Scikit-learn
Natural Language Processing
Microsoft Azure
Amazon Web Services

Education

Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related discipline

Tools

Python
FastAPI
Terraform
AWS
Azure
SageMaker
Bedrock
Kubernetes
Spark

Job description

HP is seeking a senior builder-focused software/platform engineer to advance internal AI/ML platforms, integrating generative AI capabilities and large language models across HP business units. You will shift between coding, reviews, troubleshooting, and architectural guidance.

The role emphasizes hands-on development, collaboration, and enabling teams to adopt corrective, scalable platform solutions; expect cloud and AI tooling across AWS/Azure, Kubernetes, and SageMaker environments.

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