Senior Applied AI/ML Engineer | Hybrid

Hewlett Packard Enterprise; Atlanta (GA); Hybrid; USD 141,000 - 325,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an experienced Senior Applied Machine Learning Engineer to deploy and integrate AI solutions in real‑world, customer‑facing environments. You will translate complex data and models into accessible, scalable solutions, collaborating with product managers, data scientists and engineering teams to ensure successful deployment and adoption.

Responsibilities include designing, developing, and deploying ML models, prototyping new AI capabilities, optimizing

Qualifications

• PhD with at least 2 years of relevant industry experience, or equivalent with master/bachelor combinations.
• Hands-on ML/AI deployment in customer-facing or end-user environments.
• Experience deploying models in production with reliability.

Responsibilities

• Design, develop, and deploy ML models and AI solutions addressing real-world problems.
• Develop demos, POCs, MVPs to showcase AI capabilities.
• Integrate open-source ML/AI tools within production environments on Kubernetes.
• Fine-tune models for accuracy, efficiency, and scalability.
• Collaborate with product managers, data scientists, and eng teams to deploy AI/ML solutions.

Skills

AI agents

Automation

Asynchronous collaboration

Education

PhD with at least 2 years of relevant industry experience, or Master’s with 4+ years, Bachelor's with 6+ years

Tools

Python

Go

MLFlow

Spark

LangChain

Kubeflow

Job description

Hewlett Packard Enterprise is seeking an experienced Senior Applied Machine Learning Engineer to deploy and integrate AI solutions in real‑world, customer‑facing environments. You will translate complex data and models into accessible, scalable solutions, collaborating with product managers, data scientists and engineering teams to ensure successful deployment and adoption.

Responsibilities include designing, developing, and deploying ML models, prototyping new AI capabilities, optimizing