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Staff Machine Learning Engineer

Palo Alto Networks

Posted 1 week ago

LOCATION

Office · Onsite

EXPERIENCE

3 - 5 Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

JavaPythonTool CallingLarge Language ModelsPrompt EngineeringWorkflow Orchestration

Job description

Overview

Staff Machine Learning Engineer to build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases.

What you'll do

Build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases.
Integrate LLMs, tools, APIs, business rules, and data into production workflows.
Develop scalable full-stack solutions across React, APIs, backend services, and data pipelines.
Design and implement cloud-native, event-driven distributed systems.
Drive technical initiatives from design through production.
Contribute to architecture, code reviews, testing, observability, and reliability.

What you'll need

3–5 years of software engineering experience.
Strong hands-on experience with Java, Kotlin, Python, or Node.js.
Experience building production applications using LLMs, prompt engineering, or tool calling.
Experience with React or modern frontend frameworks.
Experience with AWS, Azure, or GCP.
Experience with Docker, Kubernetes, and distributed systems.

Read the full description and apply on the company’s own careers page.

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Staff Machine Learning Engineer

Palo Alto Networks

Posted 1 week ago

LOCATION

Office · Onsite

EXPERIENCE

3 - 5 Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

JavaPythonTool CallingLarge Language ModelsPrompt EngineeringWorkflow Orchestration

Learn the skills this role wants

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Job description

Overview

Staff Machine Learning Engineer to build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases.

What you'll do

Build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases.
Integrate LLMs, tools, APIs, business rules, and data into production workflows.
Develop scalable full-stack solutions across React, APIs, backend services, and data pipelines.
Design and implement cloud-native, event-driven distributed systems.
Drive technical initiatives from design through production.
Contribute to architecture, code reviews, testing, observability, and reliability.

What you'll need

3–5 years of software engineering experience.
Strong hands-on experience with Java, Kotlin, Python, or Node.js.
Experience building production applications using LLMs, prompt engineering, or tool calling.
Experience with React or modern frontend frameworks.
Experience with AWS, Azure, or GCP.
Experience with Docker, Kubernetes, and distributed systems.

Read the full description and apply on the company’s own careers page.

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Job description

Staff Machine Learning Engineer

Learn the skills this role wants

Job description

Learn the skills this role wants

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