Senior Machine Learning Engineer (Agentic AI for Security Operations) at Zscaler, Bengaluru
Job Description
Zscaler, the cloud security company, is hiring a senior machine learning engineer in Bengaluru for its Exposure Management and Security Operations team. The role builds and runs AI agents in production: multi-step reasoning, tool use, state management and LLM orchestration, along with the monitoring and evaluation needed for non-deterministic systems. It also improves classical ML models already in use. The post is hybrid and reports to the Manager, Machine Learning Engineering.
At a glance
- Role: Senior Machine Learning Engineer (Agentic AI)
- Team: Exposure Management and Security Operations
- Location: Bengaluru, India (hybrid)
- Experience: 3 to 5 years as an ML engineer
- Posted: 22 May 2026
- Apply: open until filled (re-checked 13 October 2026)
About the agentic AI role
- Develop ML models and generative AI solutions, with a focus on agentic AI architectures
- Take AI agents to production end to end, handling multi-step reasoning, tool use, state and LLM orchestration
- Design LLMOps frameworks with observability, monitoring, logging and evaluation for AI agents
- Tune GenAI pipelines and classical ML models (feature engineering, hyperparameters) for accuracy, efficiency and scale
- Turn business needs into technical solutions with cross-functional teams
Who the team is looking for
The posting describes someone comfortable in ambiguity who moves between strategy and hands-on work, looks for hard problems, seeks feedback, and is curious about how systems work. The team helped build a multitenant platform that the posting says serves more than 15 million users.
What Zscaler is looking for
- 3 to 5 years as an ML engineer, building and deploying ML systems
- Hands-on work on GenAI systems (LLMs, retrieval-augmented generation) and agentic AI running in production
- A solid grasp of MLOps and LLMOps, including monitoring and debugging non-deterministic agents
- Strong computer science basics plus Python (scikit-learn, PyTorch or TensorFlow) and SQL
- Good communication and teamwork
Nice to have
- AWS, GCP or Azure and ML platforms such as Kubeflow or SageMaker
- Systems programming or distributed systems
- Tech blogs, papers or other knowledge-sharing
Pay and location
Zscaler’s posting for this India role does not state a salary. The role is hybrid, based in Bengaluru.
How to apply
Apply through the official Zscaler job posting. Zscaler’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Zscaler
Official advertisement: job-boards.greenhouse.io
How to prepare for this application
- Agents in production: bring one agent you shipped and explain how you evaluated and monitored it.
- Failure modes: be ready to discuss loops, tool errors and hallucinated actions, and how you caught them.
- Classical ML too: the role also tunes existing models; refresh feature engineering and evaluation basics.
- Security context: read about exposure management and security operations before interviews.
- Share writing: link any blog posts or papers; the posting values them.
About Zscaler
Zscaler sells cloud security built on its Zero Trust Exchange platform, which connects users, devices and applications securely from any location. The company describes it as the world's largest in-line cloud security platform, spread across more than 160 public data centres.
