Secure access for a cloud-first world
Zscaler, headquartered in San Jose, California, is a leader in cloud security solutions, providing services to over 7,000 customers including major corporations like Netflix and Siemens. Founded in 2008, Zscaler went public in 2018 and has since raised over $500 million in funding, with a current va...
Zscaler offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance. Employees ...
Zscaler fosters a culture of innovation and agility, emphasizing a cloud-first approach to security. The company values transparency and collaboration...
Zscaler • Bangalore, IND
Zscaler is hiring a Senior Machine Learning Engineer to enhance their cloud-native Zero Trust Exchange platform. You'll work with Python, TensorFlow, and Keras to solve complex challenges in cybersecurity. This role requires strong expertise in machine learning and data analysis.
You have 5+ years of experience in machine learning and data analysis, with a strong foundation in Python and its libraries. You are skilled in building and deploying machine learning models, and you understand the intricacies of data preprocessing and feature engineering. Your experience with TensorFlow and Keras allows you to create robust models that can handle real-world data challenges. You thrive in collaborative environments, working closely with cross-functional teams to drive impactful solutions. You are passionate about cybersecurity and eager to contribute to a platform that protects users and data globally. You are a problem solver who enjoys tackling complex challenges and finding innovative solutions. We encourage you to apply even if your experience doesn't match every requirement.
As a Senior Machine Learning Engineer at Zscaler, you will be responsible for designing and implementing machine learning algorithms that enhance our cloud security platform. You will collaborate with data scientists and software engineers to develop models that improve threat detection and response capabilities. Your role will involve analyzing large datasets to extract insights and improve model performance. You will also be tasked with optimizing existing models and ensuring they are scalable and efficient. You will participate in code reviews and contribute to best practices in machine learning and software development. Additionally, you will have the opportunity to mentor junior engineers and share your knowledge with the team. Your contributions will directly impact the security of our customers and the effectiveness of our platform.
At Zscaler, we offer a dynamic work environment where your contributions are valued and recognized. You will have the opportunity to work on cutting-edge technology in the cybersecurity space, with a focus on innovation and excellence. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Our culture emphasizes collaboration, accountability, and a commitment to making a positive impact on a global scale. Join us in shaping the future of cybersecurity and making a difference for our customers worldwide.
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