Machine Learning Engineer II
Barracuda NetworksMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level ML role at a known cybersecurity vendor in Bangalore with common ML requirements, so high competition.
Core ML engineering skills transferable, but email threat detection and cybersecurity domain increase specificity.
Explicit 2–4 years, required ML and Python experience, with multiple preferred technical skills.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement machine learning algorithms to detect email threats in real-time across customer environments.
Research, build, train, and optimize machine learning classifiers for multiple attack vectors in email protection products.
Collaborate with ML and software engineering teams to scale algorithms into production and leverage AI for detection acceleration.
Minimum Requirements
Bachelor's degree in computer science or electrical engineering or equivalent work experience; advanced degree is a plus.
2-4 years of experience in creating and maintaining machine learning models with production-grade algorithms.
2+ years experience analyzing large structured and unstructured data using Python or similar languages.
Experience with Databricks and SQL is required; experience with AWS/Azure, MLOps, and cybersecurity is a plus but not mandatory.
Ideal Candidate Profile
Has a proven track record delivering practical machine learning detection solutions in cybersecurity or email protection domain.
Demonstrates strong hands-on skills with data analytics, supervised/unsupervised learning, and ML model deployment.
Operates well in collaborative environments, acting as a technical mentor and owning end-to-end ML detection development and deployment.