Top AI & Machine Learning Jobs

Build and maintain large-scale distributed ML systems across the full pipeline (data collection, feature engineering, training, evaluation, deployment, real-time serving). Design and implement Agentic AI and multi-agent workflows, orchestration, tool integrations, and real-time agent serving. Partner with data scientists and product teams to deliver ML-driven automation for threat detection, policy recommendation, triage, and segmentation, and own evaluation, rollout, and monitoring strategies for agent-based systems.

The Senior Machine Learning Engineer will develop and deploy AI solutions, focusing on Agentic AI architectures and LLMOps while collaborating with teams to meet business needs.

Lead the AI strategy and programs for R&D at Zscaler, managing use case identification, vendor evaluations, and AI adoption across engineering teams.

As a Sr. Staff Machine Learning Engineer, you will drive the development of cloud security features, leveraging AI/ML to solve real-world challenges and optimize production systems.

As a Principal Machine Learning Engineer at Zscaler, you will lead AI/ML projects, optimize systems, and collaborate on cybersecurity solutions while mentoring engineers.

Lead the evolution of HR tech by integrating Workday with AI-driven solutions, developing automated workflows, and ensuring user experience across HR systems.

As a Staff Machine Learning Engineer, you will design and deploy scalable Gen AI/ML systems, mentor engineers, and innovate within the AI/ML frameworks. Collaborating cross-functionally, you'll ensure robust MLOps practices and drive technical excellence in machine learning operations.

As a Staff Machine Learning Engineer, you will design and deploy scalable ML systems, lead projects, mentor engineers, and implement MLOps practices, while collaborating with cross-functional teams.

Responsible for architecting and developing AI security infrastructure, optimizing performance and scalability of systems, and driving innovation in a collaborative environment.

The Principal GenAI Data Engineer will drive the design and implementation of scalable GenAI data platforms, focusing on robust data pipelines for structured and unstructured data. This role requires expertise in Python and AI data architecture, enhancing enterprise data capabilities.