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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Platform Engineer - **Company:** HP Inc - **Location:** Spring, TX, United States - **Experience:** Expert - **Salary:** $147,050.0 - $230,850.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Big Data, C++ (Programming Language), Code Review, Computer Programming, Computer Literacy, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Azure Machine Learning, Software Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Fastapi, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Software Coding, Terraform - **Published:** July 16, 2026 - **Apply:** https://dejobs.org/x/x/6EE25605070940178CAD7240C9FB15DB/job/ ## About the Role * 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 ## 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)