At Zscaler, our AI and Data Science teams focus on various cybersecurity business-centric use cases including threat detection, policy recommendation, malware detection, content classification, anomaly detection, and AIOps (advanced networking diagnosis). As a Principal Engineer, you will have the opportunity to work on multiple fundamental machine learning problems addressing cloud security, cloud operations, and cloud intelligence.You will be responsible for leading the development and implementation of advanced machine learning models, mentoring junior team members, and driving strategic AI and data science initiatives. You will have a deep understanding of various stages of an end-to-end Machine Learning project and will be capable of translating business problems into data-driven solutions.Required Skills8+ years of experience as a Machine Learning Engineer or Data Scientist, with a proven track record of leading and delivering successful projectsExpertise in Python (e.g., pandas, sklearn, pytorch) and SQLExtensive experience in feature engineering, model evaluation, and error analysisIn-depth knowledge of Large Language Models (LLMs) and their applicationsMaster's or Ph.D. in Computer Science/Engineering or other technical field; data science concentration is a plusStrong passion for leveraging ML/AI to solve real-world business problems at scale Exceptional interpersonal, technical, and communication skillsProven ability to learn, evaluate, and adopt new technologies quicklySolid computer science foundationPreferred SkillsExperience in prompt engineering and fine-tuning Large Language Models (LLMs)Expertise in Graph Neural Networks/Knowledge GraphsProficiency in unsupervised learning (clustering) and evaluationResearch experience/publications/patents in relevant areasFamiliarity with public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow)Proficiency in various programming languages such as (Py)SparkDeep understanding of operating systems and distributed systemsKnowledge of networking and networking security conceptsResponsibilitiesLead the development of advanced machine learning models to address complex business problemsMentor and guide team members on projects and professional growthCollaborate with cross-functional teams to define project objectives and deliverablesDesign, implement, and evaluate innovative machine learning solutions, ensuring alignment with business objectivesDrive strategic initiatives, identifying opportunities for improvement and innovationApplied research: Stay up-to-date and apply the latest advancements in machine learning and data science Communicate complex data science concepts to non-technical stakeholders and drive data-driven decision-making across the organization#LI-AN4
