Hybrid Senior Applied ML Engineer: Deploy AI at Scale

Hewlett Packard Enterprise; San Jose (CA); Hybrid; USD 155,000 - 315,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Hewlett Packard Enterprise is seeking an experienced Senior Applied Machine Learning Engineer with hands-on experience deploying ML/AI in real-world, customer-facing environments. You will build, optimize, and integrate models and AI solutions, translating data into actionable outcomes.

You will collaborate with cross-functional teams, mentor junior colleagues, and lead the adoption of AI tools and pipelines across the product suite, including MLFlow, Kubeflow, and Kubernetes.

Qualifications

• PhD with at least 2 years of relevant industry experience, or the equivalent (e.g., Master’s degree with 4 years, Bachelor’s with 6 years).
• Extensive hands-on experience applying machine learning and AI solutions in customer-facing or end-user environments.
• Proven ability to deploy models in production, ensuring reliability and performance.
• Experience with open-source ML/AI tools and frameworks.
• Experience with backend programming languages (Python, Go).
• Proficiency in developing, using, and maintaining AI agents; proven experience coding agents for automation or decision-making tasks.
• Excellent written and verbal communication skills, especially in asynchronous collaboration.

Responsibilities

• Design, develop, and deploy machine learning models and AI solutions that address real‑world customer problems, focusing on usability, scalability, and performance.
• Rapidly develop demos, POCs, MVPs, and workflows to showcase new AI/ML capabilities that could be integrated into the product or used to improve existing features.
• Develop and improve integrations of open‑source ML/AI tools within production environments, ensuring seamless operation on platforms like Kubernetes.
• Fine‑tune models and algorithms for accuracy, efficiency, and scalability in production settings, including deep learning technologies.
• Translate customer requirements and industry trends into actionable AI/ML solutions that improve product features, data management, and system performance.
• Work closely with product managers, data scientists, and engineering teams to brainstorm, design, and deploy AI/ML solutions, documenting procedures and best practices.
• Lead efforts in integrating emerging AI tools, mentor junior team members, and communicate progress and challenges to leadership.

Skills

Python

Go

Machine learning

AI deployment

Communication

Education

PhD + 2+ yrs

Master's + 4 yrs

Bachelor's + 6 yrs

Tools

MLFlow

Spark

LangChain

Kubeflow

Kubernetes

Job description

Hewlett Packard Enterprise is seeking an experienced Senior Applied Machine Learning Engineer with hands-on experience deploying ML/AI in real-world, customer-facing environments. You will build, optimize, and integrate models and AI solutions, translating data into actionable outcomes.

You will collaborate with cross-functional teams, mentor junior colleagues, and lead the adoption of AI tools and pipelines across the product suite, including MLFlow, Kubeflow, and Kubernetes.