AI/ML Platform Engineer

HP France

. Build internal platform tools and services, including self-service portals/workbenches, backend APIs using Python/FastAPI, automations, and CI/CD tooling .

Posted 9/17/2026full-timeSpring • Texas • United StatesSeniorLead💰 $147,050 - $230,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building internal platform tools and services, including backend APIs and automations using Python and FastAPI. Proficient in cloud resource management with AWS and Azure, and experienced in machine learning frameworks and methodologies.

Highest-signal resume keywords

Python DevelopmentAWS Resource ManagementMachine Learning ExpertiseTerraform ProficiencyAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPITerraformAWSAzureApache SparkC++JavaPyTorchTensorFlow

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

SageMakerAzure ML/AI FoundryKubernetesCI/CD Tooling

Certifications & Qualifications

AWS Certified Machine Learning Specialty

Industry Keywords

Artificial IntelligenceBig DataDeep LearningNatural Language ProcessingAlgorithmsStatistical Methods

Tech Stack

Tools & technologies

ApacheAWSAzureJavaKubernetesPythonPyTorchScikit-LearnSparkTensorflowTerraformC++

About the role

Key responsibilities & impact

Build internal platform tools and services, including self-service portals/workbenches, backend APIs using Python/FastAPI, automations, and CI/CD tooling
Develop MCP/gateway integrations and AI-enabled automations and flows
Reduce friction for teams adopting the platform
Write and maintain Terraform; provision and configure platform resources across AWS and Azure
Diagnose deployment, networking, endpoint, and configuration issues
Partner with security and networking specialists
Collaborate in standups, syncs, planning and project meetings
Participate in design and architecture reviews, PR reviews, and code reviews
Onboard new teams and translate ambiguous requirements into practical plans
Challenge weak designs
Help teams productionize models across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes, including hosting, inference, scaling, cost, and operational readiness
Create documentation, onboarding guides, and reference examples
Identify and implement process and platform improvements proactively

Requirements

What you’ll need

Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or another related discipline, or commensurate work experience or demonstrated competence
Typically 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field
AWS Certified Machine Learning Specialty preferred
Knowledge of Agile Methodology, algorithms, Amazon Web Services, Apache Spark, artificial intelligence, automation, big data, C++, computer science, data science, deep learning, Java, machine learning, Microsoft Azure, natural language processing, Python, PyTorch, scikit-learn, software engineering, and TensorFlow

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave
Bonus and/or equity opportunities for United States of America candidates only