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Zscaler

Staff Machine Learning Engineer

Zscaler

Published 11 May 2026
Bangalore, IND
Full Time

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Role Highlights

Languages used

Python

Key skills

Big Data
Data Collection
Data Architect
Feature Engineering
Prompt Engineering
Anomaly Detection
Machine Learning
Distributed Systems
Transformation
Agile
Security
AI
Automation
Debugging
Statistics
Streaming
Infrastructure
Cloud

Tools, Libraries and Frameworks

SpringBoot
Azure
BigQuery
GCP
Java Spring
PyTorch

Description

The role involves designing and developing large-scale machine learning systems to analyze network data for threat detection and anomaly identification. The engineer will build distributed systems to support the full machine learning lifecycle, including data collection and feature engineering. Responsibilities include creating multi-agent solutions and autonomous decision-making workflows to automate complex business analysis. The position requires partnering with cross-functional teams to manage development, debugging, and production monitoring. The engineer will ensure the scalability and performance of these systems while navigating complex technical challenges.

Required Qualifications and Skills

Candidates must have at least five years of experience as an AI-ML engineer. Technical proficiency in Java, Springboot, Python, and either PyTorch or TensorFlow is required. Applicants need expertise in high-performance querying for large-scale analytics platforms and experience with anomaly detection techniques. Additionally, the role requires hands-on experience with multi-agent orchestration and distributed infrastructure on public cloud platforms.

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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