Cisco Security ML Engineer 

United States, Georgia, Atlanta 

2497447

Who you are:

What you’ll do

• Proactively analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real.
• Analyze large datasets to extract complex data patterns.
• Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats.
• You will have the opportunity to build or enhance machine-learning pipelines to support Cisco's security products and tools, covering from model selection and training, to optimization, deployment, and monitoring.
• You will be in contact with many different products and domains across Cisco's security product portfolio including malware detection, web and email classification.
• Keep yourself abreast of the latest research in security and machine learning and regularly present new techniques to the rest of the team.
• Publish internal and external reports, papers and blog posts detailing your research findings.

Minimum requirements:

• Background in cybersecurity, with a strong emphasis on threat detection.
• Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience working with large, real-world datasets that require pre-processing, data visualization, and a great dose of analytical skills.

Preferred requirements:

• Undergraduate or postgraduate in Computer Science or a related field.
• Experienced with cloud based data processing platforms such as AWS, and/or Databricks.
• You have firm software development skills with Python/PySpark, Terraform, Git, CI/CD, Docker.
• Comfortable with relational and NoSQL databases/datastores such as Elasticsearch.
• Familiar with the threat landscape and threat intelligence concepts.

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