Sentinel - Lead Systems Security Engineer – COTS Vulnerability Assessment

About the role

The role involves developing advanced algorithms for autonomous systems. This includes designing machine learning models and integrating them into complex software systems.

Responsibilities

• Design and implement machine learning models for autonomous systems.
• Collaborate with cross-functional teams to integrate models into software systems.
• Analyze system performance and make necessary adjustments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in machine learning and software development.
• Proficiency in Python and familiarity with TensorFlow or similar frameworks.
• Strong problem-solving skills and ability to work independently.

Qualifications

• Experience with cloud platforms such as AWS or Azure.
• Knowledge of cybersecurity principles and practices.
• Excellent communication and teamwork skills.

Skills

• Python programming.
• Machine learning frameworks (TensorFlow, PyTorch).
• Software development best practices.
• Cloud computing (AWS, Azure).

Benefits

• Competitive salary package.
• Flexible working hours.
• Professional development opportunities.
• Health insurance coverage.

Pay

$80,000 - $100,000 annually.

Schedule

Full-time, Monday through Friday, 9 AM to 5 PM.