Cybersecurity Machine Learning Expert

4 days ago

Bengaluru, Karnataka, India Trellix Full time

About Trellix

Trellix is the cybersecurity company that transforms security operations with artificial intelligence (AI), analytics, and automation to create a resilient digital world.

Our market-leading AI-powered XDR Platform learns and adapts to disrupt active threats and empower CISOs with living security. The platform's open architecture and broadest set of native security controls across endpoint, email, network, cloud, and data security integrates with over 500 third-party tools to create multi-vector, multi-vendor event correlation and context to speed up investigations.

The Trellix Advanced Research Center provides an additional layer of protection by continuously informing the platform on the latest threat actor TTPs (techniques, tactics, and procedures) and recommendations from millions of global sensors.

Trellix accelerates technology innovation and empowers over 40,000 business and government customers to build confidence in the protection and resilience of their operations.

Role Overview

We're seeking a Senior Cybersecurity Machine Learning Engineer to join our team of experts who solve critical cyber security problems using machine learning. This includes identifying data requirements, feature engineering, model training, and deployment. Typical areas of exposure would be in the field of Malware detection, Malicious URL classification, and Threat Hunting.

About You

You'll work in a team of smart data scientists reporting to a Data Science Director that does full-lifecycle, full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our use cases include but are not limited to attack detection, threat hunting, malware detection, and anomaly detection, and MLOps.

You will work on more than one project at any given point in time and mentor junior data scientists in the team. You will own at least one project end-to-end throughout the year, from problem identification, data exploration, feature engineering, model development, and deployment.

This is a full-stack data scientist role where you may need to build data processing pipelines, feature extraction pipelines, and automated model training and deployment pipelines.

Your Skills and Qualifications

  • A Degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics
  • In-depth understanding of all major Machine Learning and Deep Learning algorithms, supervised and unsupervised both
  • Expertise in ML problem formulation, feature engineering, model training, and deployment
  • Passion for leveraging ML/AI to solve real-world business problems
  • 8+ years of industry experience in one or more machine/deep learning frameworks
  • 8+ years of industry experience with Python/Pyspark/R and SQL
  • Experience in solving multiple business problems using Machine Learning
  • Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow)
  • Familiarity with Security Domain will be a plus
  • Experience in C++ programming will be a plus
  • Solid computer science foundation
  • Good written and verbal communication

Benefits

We offer a variety of social programs, flexible work hours, and family-friendly benefits to all of our employees.

We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status.

Salary Information

The estimated salary range for this position is $120,000 - $200,000 per annum, depending on your qualifications and location.

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