Senior Staff Machine Learning Engineer - Agentic AI & Digital Experience

Confirmed live in the last 24 hours

Zscaler

Bangalore, IND

Hybrid

Posted February 3, 2026

Job Description

About Zscaler

Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity.

Here, impact in your role matters more than title and trust is built on results. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership and accountability.

We champion an “AI Forward, People First” philosophy to help us accelerate and innovate, empowering our people to embrace their potential. If you’re driven by purpose, thrive on solving complex challenges and want to make a positive difference on a global scale, we invite you to bring your talents to Zscaler to help shape the future of cybersecurity.

Role

We are looking for a seasoned Sr. Staff Machine Learning Engineer to join our Digital Experience team. This is a hybrid role based in Bangalore, reporting to the Senior Manager, Machine Learning Engineering. You will play a critical role in shaping the next generation of Digital Experience with world-class tools to identify insights and enable agentic AI functionalities, joining a team that has built the world's largest cloud security platform from the ground up.

What you’ll do (Role Expectations)

Frame high-impact use cases, design agent workflows involving planning and memory, and build the frameworks for all Digital Experience products
Evaluate and integrate advances in LLMs/SLMs, retrieval, fine-tuning, and inference optimization to deliver reliable and cost-efficient production features
Design, implement, and operate resilient microservices and data pipelines that are observable and performant
Partner with Product, UX, and customers to turn ambiguous problems into measurable wins with clear SLAs and feedback loops

Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

BS in Computer Science or related field with 7+ years of experience, or MS/PhD with 6+ years of experience solving real-world problems using AI/ML and distributed systems
Exceptional problem-solving skills driven by first-principles thinking across programming, data structures, algorithms, and machine learning
Proven experience in the full ML model lifecycle including building, deployment, monitoring, and optimization
Hands-on expertise with modern GenAI stacks such as LangChain, LangGraph, CrewAI, vector stores, RAG, and evaluators&l

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