Responsibilities
- Develop and deploy machine learning models and Generative AI solutions, including agentic AI architectures.
- Productionize AI agents involving multi-step reasoning, tool use, state management, and LLM orchestration.
- Design LLMOps frameworks with observability, monitoring, logging, and evaluation for dynamic AI agents.
- Optimize Generative AI pipelines and classical ML models through feature engineering and hyperparameter tuning.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
Requirements
- Require 3–5 years of related experience as a machine learning engineer with a track record of building and deploying ML systems.
- Require hands-on experience with LLMs, Retrieval-Augmented Generation, and productionizing agentic AI systems.
- Require strong understanding of MLOps and LLMOps monitoring, observability, and debugging challenges.
- Require computer science fundamentals in data structures and algorithms, plus Python, scikit-learn, PyTorch or TensorFlow, and SQL expertise.
- Require strong communication, interpersonal, independent-work, and teamwork skills.
- Preferred experience includes AWS, GCP, Azure, Kubeflow, SageMaker, systems programming, or distributed systems.
- Preferred candidates demonstrate interest in innovation through technical blogs, external papers, or industry knowledge-sharing.
Benefits
- Hybrid work arrangement based in Bangalore.
- Various health plans, vacation and sick time off plans, parental leave options, retirement options, education reimbursement, and in-office perks.
Categories
About Zscaler
Zscaler (NASDAQ: ZS) 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 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. Stay Connected: LinkedIn: https://www.linkedin.com/company/zscaler Twitter: https://www.twitter.com/zscaler Facebook: https://www.facebook.com/Zscaler/ Instagram: https://www.instagram.com/zscalerinc/