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Zscaler

Staff Machine Learning Engineer (Agentic AI)

Zscaler

Published 15 May 2026
Bangalore, IND
Full Time

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Role Highlights

Languages used

Python
GO
Rust

Key skills

Machine Learning
ML Ops
Computer Science
CICD
Distributed Systems
Data Structures
System Design
Cloud Security
LLMs
Generative AI
Transformation
Agile
Operations
Architecture
ProtoTyping
Logging
RAG
Research

Tools, Libraries and Frameworks

IOS
AWS
GCP
Azure
KubeFlow

Description

The role involves designing and deploying scalable production-grade machine learning systems. Responsibilities include researching emerging frameworks and prototyping novel solutions to drive innovation. The position requires implementing robust MLOps practices such as monitoring and CI/CD pipelines for distributed systems. The individual will lead and mentor junior engineers while promoting technical excellence. Additionally, the role requires collaborating with cross-functional teams to translate business requirements into technical solutions.

Required Qualifications and Skills

Candidates must have at least 5 years of experience as a Machine Learning Engineer with a proven track record of shipping scalable systems to production. Required technical expertise includes building Gen AI and ML systems using LLMs, RAG, and Agentic AI, alongside strong knowledge of MLOps, Python, and SQL. A solid foundation in computer science, specifically in data structures, algorithms, and system design, is necessary. Excellent communication and interpersonal skills are required to partner effectively with global teams.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Zscaler

Size

6971

Founded

HQ

San Jose, US

Public/Private

Public Company

Description

Zscaler accelerates digital transformation for its customers by making them more agile, efficient, resilient, and secure, leveraging the Zscaler Zero Trust Exchange, a cloud-native platform that protects against cyberattacks and data loss by securely connecting users, devices, and applications. With over a decade of experience in developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers globally, including 450 of the Forbes Global 2000 organizations, by eliminating latency-creating gateway appliances and improving user experiences. Founded in 2007, Zscaler's mission is to make the cloud a safe place to do business, and its security platform strategically places a company's defenses and controls on the internet to ensure every connection is fast and secure, regardless of user location or application workload.

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