Cybersecurity Engineer: AI/ML & Data Analytics (Remote)

Castalia Systems; Morrisville (NC); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k matching

Generous PTO

Paid holidays

Professional training

Pet insurance

Job summary

Castalia Systems is seeking a Cybersecurity Engineer to support our Intelligence Client’s mission. You will apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization.

You will leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels.

Qualifications

• BS degree and 8+ years of experience.
• Expert with data science and AI/ML concepts used for fraud detection.
• Design AI-powered solutions integrating LLMs, CV, and analytics in secure environments.
• Direct specialized teams of data scientists, data engineers, and BI specialists.
• Experience delivering across engagements including BI, tech, finance, and risk.
• Advanced skills applying AI/ML tools to accelerate business activities.

Responsibilities

• Respond to ad hoc requests from stakeholders to investigate concerns.
• Identify, collect, analyze new data sources across units to deliver insights.
• Highlight gaps in USPS systems and propose remediation to deter threats.

Skills

AI/ML concepts

Data science

Python

SQL

Tableau

AWS

Azure Databricks

MLOps

Model lifecycle management

Data governance

Leadership

Education

Bachelor's degree

Tools

Databricks

Job description

Castalia Systems is seeking a Cybersecurity Engineer to support our Intelligence Client’s mission. You will apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization.

You will leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels.