Staff Machine Learning Engineer
Office - India - Bangalore Bagmane Tech Park
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Read the full posting
What you’ll work on
Full postingBuild AI-driven applications and agents for marketing and GTM use cases
Integrate LLMs, tools, APIs, and data into production workflows
Design and implement cloud-native, event-driven distributed systems
Own technical initiatives from design through production
Automate manual marketing processes and simplify integrations
From the employer’s posting
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
Design and implement cloud-native, event-driven distributed systems
Own technical initiatives from design through production
Simplify integrations and automate manual marketing processes
What you’ll bring
All qualificationsCore experience
- 3–5 years of software engineering experience
- Bachelor's or Master's in Computer Science, Engineering, or related field
- Strong hands-on experience with Java, Kotlin, Python, or Node.js
- Production experience with LLMs, prompt engineering, or tool calling
- Experience with AWS, Azure, or GCP, plus Docker and Kubernetes
Qualification wording
3–5 years of software engineering experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Strong hands-on experience with Java, Kotlin, Python, or Node.js
Experience building production applications using LLMs, prompt engineering, or tool calling
Experience with AWS, Azure, or GCP
Education & alternatives
Required - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field - 3–5 years of software engineering experience
Tools in this posting
- Java
- Kotlin
- Python
- AWS
- Azure
- Docker
- GCP
- Kubernetes
- React
- Node.js
Source — Tool mentions in context
- 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
- Experience with AWS, Azure, or GCP - Experience with Docker, Kubernetes, and distributed systems - Understanding of event-driven architectures, APIs, messaging, and data pipelines
- Experience building production applications using LLMs, prompt engineering, or tool calling - Experience with React or modern frontend frameworks - Experience with AWS, Azure, or GCP
About Paloaltonetworks
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Oct 5, 2026 · 17 days ago
- Recorded sightings
- 62
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Your Responsibilities
- 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
Qualifications
Your Experience
Required
- 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
Preferred
- 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
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Office - India - Bangalore Bagmane Tech Park
Working pattern and location restrictions need checking in the full posting.
- Work authorization
All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
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