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From the employer's careers site First seen 6 Nov 2026

Principal Machine Learning Engineer

Zscaler Bangalore, IND Hybrid senior full-time

The employer hasn't listed a salary.

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Description

Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure.

The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

We are looking for a Principal Machine Learning Engineer to join our team in the Exposure Management & Security Operations department. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering.

In this role, 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.

Responsibilities

  • Architect, implement, and evaluate advanced machine learning models and innovative technical solutions directly aligned with strategic business objectives
  • Guide and support data science team members through hands-on project direction, technical best practices, and structured professional development
  • Partner with cross-functional teams to define project roadmaps and translate complex technical concepts into actionable insights that drive data-informed decision-making
  • Champion organization-wide strategic initiatives, proactively identifying high-impact opportunities for process optimization and technological innovation
  • Monitor emerging advancements in machine learning and data science, translating state-of-the-art research into practical, high-value applications

Requirements

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
  • 12+ years of proven success as a Machine Learning Engineer or Data Scientist, leading high-impact projects that leverage ML/AI to solve real-world business problems at scale
  • Deep expertise in Python (pandas, scikit-learn, PyTorch) and SQL, backed by extensive hands-on experience in feature engineering, rigorous model evaluation, and comprehensive error analysis
  • In-depth knowledge of Large Language Models (LLMs) and their practical applications, coupled with a proven agility to rapidly learn, evaluate, and adopt emerging technologies
  • Outstanding interpersonal and technical communication skills, enabling seamless collaboration and the ability to articulate complex technical concepts clearly to diverse stakeholders

Benefits

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Skills

Nice to have

  • fine-tuning Large Language Models
  • advanced prompt engineering
  • Graph Neural Networks
  • Knowledge Graphs
  • unsupervised clustering and evaluation
  • (Py)Spark
  • major public cloud platforms
  • ML automation tooling
  • Kubeflow

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/zscaler/jobs/5267225007

Apply on Zscaler