Zscaler
Zscaler is hiring a Senior Machine Learning Engineer (Agentic AI) in Bangalore, IND. The salary has not been published by the employer. Everything below comes from the employer’s own posting, with the apply link going directly to their careers portal.
About this role
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
Role
We are looking for a Senior Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Manager, Machine Learning Engineering. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.
What you’ll do (Role Expectations)
• Independently develop and implement machine learning models and Generative AI solutions, with a strong emphasis on building and deploying Agentic AI architectures
• Drive the end-to-end productionization of AI agents, navigating the complexities of multi-step reasoning, tool use, state management, and LLM orchestration in live environments
• Design and implement advanced LLM Ops frameworks, ensuring deep observability, rigorous monitoring, logging, and evaluation specifically tailored for dynamic AI agents
• Assist in refining and optimizing both modern Gen AI pipelines and existing classical ML models (feature engineering, hyperparameter tuning) for maximum accuracy, efficiency, and scalability
• Collaborating with cross-functional teams to translate complex business needs into technical solutions
Who You Are (Success Profile)
• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact
• You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation
What We’re Looking for (Minimum Qualifications)
• 3 to 5 years of related experience as an MLE, with a strong track record of building and deploying ML systems
• Proven hands-on experience in creating Gen AI-based systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and a clear history of operationalizing Agentic AI in production
• Deep understanding of MLOps and LLMOps principles, specifically dealing with the unique monitoring, observability, and debugging challenges of non-deterministic AI agents
• A solid computer science foundation (data structures, algorithms) coupled with expertise in Python (scikit-learn, PyTorch/TensorFlow) and SQL for comprehensive feature engineering and model evaluation
• Excellent…
Links directly to the employer’s own application form. Free to apply.
What the pay looks like
Zscaler has not published a salary for this role. That is normal — many employers only discuss pay once you reach the offer stage. Ask the recruiter for the range early so you do not spend weeks on a process that cannot meet your number.
Whatever figure you are quoted is CTC, not take-home. Employer PF, gratuity and any variable component sit inside it. Our in-hand salary calculator converts a CTC figure into a realistic monthly number.
Before you apply
Never pay to apply. No genuine employer charges a registration fee, security deposit or training cost. Any request for money is a scam, without exception.
Apply through the employer’s own domain. The button above points at Zscaler’s careers portal. If you reach this role through a message or email instead, navigate to the company’s site yourself rather than following the link.
Hold back personal documents. Bank details and identity documents belong at the offer stage, confirmed over official company email — never during a chat-app conversation.
Common questions
Is this listing genuine?
Yes. The apply button links to the requisition on Zscaler’s own applicant tracking system, not to a third-party form. TechJobs360 never charges candidates.
How current is it?
This listing was published on 2026-09-04 and is checked against the employer’s portal daily. If Zscaler closes the requisition, the page is withdrawn. Openings can still close between checks, so treat the employer’s own portal as authoritative.
What are the eligibility requirements?
Zscaler lists this as a 5-10 role. Exact eligibility — degree, batch year and cut-offs — is set by the employer and stated on the official posting.
How do I apply?
Use the apply button above. It opens Zscaler’s official application form — there is no TechJobs360 step in between and no account needed here.
TechJobs360 is an independent career-information platform and is not the employer for this role. Eligibility, compensation and deadlines are set by Zscaler and can change without notice. Always confirm current details on the official portal before applying. We never charge candidates a fee.
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