Staff Machine Learning Engineer

Zscaler; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Time off plans for vacation and sick time

Parental leave options

Retirement options

In-office perks

Job summary

Join a pioneering company in the cloud security space as a Staff Software Engineer. This role offers the chance to lead the development of advanced AI/ML models that enhance user experience by identifying performance issues and forecasting system behavior. Collaborate with a diverse team of experts to drive innovation and contribute to a culture of inclusivity. With a commitment to employee well-being, the company provides a comprehensive benefits program, including time off, parental leave, and retirement options. If you're passionate about technology and making a difference, this is your opportunity to shine.

Qualifications

• 7+ years of experience in data science or a related role.
• Proficiency with data science tools and platforms.

Responsibilities

• Lead AI/ML model development for performance issue resolution.
• Oversee ML project lifecycle, including deployment.

Skills

Python

R

TensorFlow

SQL

Networking

Anomaly Detection

Machine Learning

Data Science

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

Kubernetes

Airflow

Job description

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for an experienced Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for:

• Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users.
• Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience.
• Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions.
• Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments.
• Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders.

What We're Looking for (Minimum Qualifications)

• A Bachelors or Master’s (preferable) degree in Computer Science, Data Science, Statistics, or a related field with 7+ years of professional experience in data science or a related role.
• Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks.
• Strong experience with networking and end-point observability systems.
• Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets.
• Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow.

What Will Make You Stand Out (Preferred Qualifications)

• Published research or contributions to digital experience/end-user observability/networking/data science community.
• Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies.
• Experience with designing complex systems and scaling ML models on large scale distributed systems.

At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

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

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws.