Hybrid Senior Applied ML Engineer—Real-World AI Dev

Hewlett Packard Enterprise; Spring (TX); Hybrid; USD 144,000 - 273,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Career development programs

Inclusive culture

Job summary

Hewlett Packard Enterprise is seeking a Senior Applied Machine Learning Engineer to design, deploy and integrate AI/ML solutions for customer-facing environments. You will translate complex data into scalable, actionable models and collaborate with cross‑functional teams to ensure successful deployment on production platforms.

The role requires hands-on ML work, experience with open-source tools, and strong backend skills (Python, Go).

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 ML/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 for products or features.
• Develop and improve integrations of open-source ML/AI tools within production environments, ensuring seamless operation on Kubernetes.
• Fine-tune models and algorithms for accuracy, efficiency, and scalability in production settings.
• 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.

Skills

Python

Go

ML deployment

Education

PhD or Master with relevant experience

Tools

MLFlow

Spark

LangChain

Kubeflow

Job description

Hewlett Packard Enterprise is seeking a Senior Applied Machine Learning Engineer to design, deploy and integrate AI/ML solutions for customer-facing environments. You will translate complex data into scalable, actionable models and collaborate with cross‑functional teams to ensure successful deployment on production platforms.

The role requires hands-on ML work, experience with open-source tools, and strong backend skills (Python, Go).