Zscaler is looking to enhance its AI Copilot capabilities to improve efficiency and user experience for IT administrators, cybersecurity operations, and vulnerability management teams.
Requirements
- Proficiency with mainstream modeling toolkits, including ML/Deep learning (TensorFlow/Keras, PyTorch, Sklearn, Spacy)
- Solid experience in scalable and distributed system design
- Proficient knowledge of full-stack languages and frameworks, such as Python, ReactJS, Java
- Familiarity with cloud-native DevOps, including practices and tools like Jenkins, Kubernetes (K8s), Docker, Helm, Istio, and Terraform
- Experience in training language models (LLM or SLM) for production usage (preferred)
- Experience or enthusiasm in cybersecurity or digital transformation (preferred)
Responsibilities
- Developing and implementing use cases for the AI Copilot
- Conducting in-depth research on the latest advancements in GenAI technologies
- Designing, building, and deploying distributed micro-services
- Collaborating closely with Product Managers and customers to design high-value use cases
Other
- 8+ years of experience delivering end-to-end AI/ML solutions in production
- Bachelor's, Master's, or Ph.D. degree in Computer Science or related field (not explicitly mentioned but implied)
- 3 days per week in office (hybrid)
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
