P

Staff Machine Learning Engineer

Palo Alto Networks
NewPosted today

LOCATION

Office · Onsite

EXPERIENCE

3 - 5 Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

Machine LearningLarge Language ModelsPrompt EngineeringDistributed TrainingSystem Design

Job description

Overview

Build AI-driven applications, agents, and workflow orchestration for marketing and go-to-market use cases. The role involves developing scalable full-stack, cloud-native, event-driven systems and owning technical initiatives through production.

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.
  • Build scalable full-stack solutions across React, APIs, backend services, and data pipelines.
  • Design and implement cloud-native, event-driven distributed systems.
  • Own technical initiatives from design through production.
  • Contribute to architecture, code reviews, testing, observability, and reliability.
  • Simplify integrations and automate manual marketing processes.
  • Collaborate with product managers, engineers, and cross-functional teams.

What you'll need

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 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.
  • Understanding of event-driven architectures, APIs, messaging, and data pipelines.
  • Strong problem-solving, ownership, and communication skills.

Nice to have

  • Experience building AI agents or agent-based workflows.
  • Experience with RAG, embeddings, vector databases, or semantic search.
  • Experience applying AI to marketing, sales, or GTM workflows.
  • Understanding of enterprise security, privacy, and data governance.
  • Experience improving system scalability, reliability, or developer productivity.

Details

  • Location: Bangalore, India.
  • Most teams work from the office full time, with flexibility when it’s needed.
  • Immigration sponsorship is not available for this position.

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

Stay safe

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