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Cybersecurity Machine Learning Engineer

1 month ago

Chantilly, Virginia, United States Strategic ASI Full time

Strategic ASI is seeking a Cybersecurity Machine Learning Engineer to develop and deploy machine learning models tailored to its cyber mission and objectives.

This role requires extensive expertise in crafting and implementing machine learning methodologies to effectively analyze and prioritize vast commercial cyber datasets.


Key Responsibilities:


Collect and analyze data from mobile applications, and develop and deploy machine learning models.

Implement and evaluate cutting-edge data science methodologies, including data labeling, ETL processes, and data standardization practices.

Integrate user-centric model evaluation techniques into development processes.

Test, optimize, validate, and automate tests for data science models.

Utilize model management tools like MLFLOW for version control and performance tracking.

Develop front-end interfaces to interact with machine learning models.


Desirable Skills and Experience:
Previous experience or knowledge in cybersecurity concepts and familiarity with the Sponsor's cyber mission.

Experience in developing and deploying machine learning models tailored to cybersecurity workflows.

Experience working in the Sponsor's mission environment.

Experience in developing and working with cyber data types such as netflow, pcap, credentials, and IP scans.