The role involves independently developing and implementing machine learning models with a strong emphasis on building Agentic AI architectures
Job Summary
The role involves independently developing and implementing machine learning models with a strong emphasis on building Agentic AI architectures.
Candidates must drive the end-to-end productionization of AI agents, navigating complexities like multi-step reasoning and state management in live environments.
Zscaler offers comprehensive benefits including health plans, parental leave, retirement options, and education reimbursement to support diverse employee needs.
Matching Summary
The role involves independently developing and implementing machine learning models with a strong emphasis on building Agentic AI architectures.
Skills & Requirements
Must-have
Agentic AI architecture development
LLM orchestration and tool use
Gen AI system operationalization
Python and PyTorch/TensorFlow expertise
LLMOps frameworks and observability
Nice-to-have
Cloud services AWS GCP Azure
Distributed systems knowledge
Tech blog or paper contributions
Bias for action and ownership
High-impact problem solving
Key Requirements
3 to 5 years of MLE experience
Proven hands-on experience with Gen AI systems
Deep understanding of MLOps and LLMOps principles
Solid computer science foundation in data structures and algorithms
Expertise in Python, SQL, scikit-learn, and deep learning frameworks