Staff Machine Learning Engineer at Zscaler

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Cloud Computing, TechnologyIndustries

Requirements

5+ years of experience as an MLE, with a track record of shipping complex, scalable ML systems to production
Proven experience building Gen AI/ML systems with LLMs, fine-tuning them, using Retrieval-Augmented Generation (RAG) and Agentic AI, and deploying in production
Proven experience designing and implementing distributed ML systems with deep knowledge of MLOps (monitoring, logging, ops)
Strong CS foundation (data structures, algorithms, system design) with expertise in Python (scikit-learn, PyTorch/TensorFlow) and SQL for feature engineering, model evaluation, and error analysis
Excellent communication and interpersonal skills
Expertise with cloud services (AWS, GCP, Azure) and ML platforms (Kubeflow, SageMaker) (Preferred)
Proficiency in systems programming languages like Go or Rust, with a deep understanding of distributed systems, OS, and networking fundamentals (Preferred)
A record of research, publications, or patents in AI/ML (Preferred)

Responsibilities

Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
Driving the innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions to validate their feasibility and championing full-scale implementation
Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
Leading and mentoring junior engineers in system design best practices and promoting technical excellence
Collaborating with cross-functional teams to translate business needs into technical solutions

Skills

Machine Learning

Scalable Models

ML Deployment

Production Systems

Zscaler

Cloud-based cybersecurity and secure gateway services

About Zscaler

Zscaler provides cloud-based information security services, focusing on internet, web, and cloud security. Its platform functions as a secure gateway that inspects all internet traffic between users and applications, ensuring that threats are identified and stopped before they can access a client's network. This service is offered through a subscription model, allowing large enterprises and government organizations to select the level of security that meets their needs. Zscaler differentiates itself from competitors by offering a strong partner program that enhances market reach and provides partners with training and resources. The company's goal is to support secure digital transformation for its clients by delivering reliable security solutions.

San Jose, CaliforniaHeadquarters

2008Year Founded

$148.8MTotal Funding

IPOCompany Stage

Enterprise Software, CybersecurityIndustries

5,001-10,000Employees

Benefits

Comprehensive health plans

Supportive parental & family leave

On-demand learning & development

Company-sponsored volunteering

Global tuition assistance program

Guilt-free paid time off

Risks

Emerging cybersecurity firms may erode Zscaler's market share.

Economic downturns could impact Zscaler's subscription-based revenue model.

The retirement of CFO Mr. Canessa may lead to financial instability.

Differentiation

Zscaler offers a 100% cloud-based security platform, eliminating on-premise hardware needs.

The company is a Gartner magic quadrant leader for secure web gateways.

Zscaler's platform inspects all internet traffic, ensuring threats are neutralized pre-network.

Upsides

Zscaler's FY/25 guidance was revised upward, indicating strong financial performance.

The partnership with Bharti Airtel enhances Zscaler's zero-trust architecture offerings.

Zscaler's hiring of government experts strengthens its position in the public sector.

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