Staff Machine Learning Engineer
Palo Alto Networks · Bangalore
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 3-5 years.
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Collected role description
Job Summary 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. Please use this form to provide us with information that will help direct your request and find your data in all of our systems
Collected experience requirement
3-5 years