AI Security Engineer

January 29

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Inmar Intelligence

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Inmar Intelligence is a company dedicated to using data and technology to empower brands, retailers, and healthcare companies to improve consumers' lives. They specialize in activating data to enhance shopper engagement through Martech solutions, optimize healthcare supply chains, and manage product returns efficiently. Inmar Intelligence integrates artificial intelligence to make data-driven decisions, helping to save shoppers money, improve healthcare safety, and reduce landfill waste. The company focuses on driving consumer loyalty, improving patient safety, and enhancing pharmaceutical returns, promoting a more sustainable and cost-effective environment for both businesses and consumers.

promotion management and settlement • digital promotion • promotion consulting • third party pharmacy receivables • reverse logistics

1001 - 5000 employees

Founded 1983

🤖 Artificial Intelligence

🛍️ eCommerce

📋 Description

• Design and implement robust security measures for AI and machine learning systems. • Apply industry-leading frameworks, such as the NIST AI Risk Management Framework (AI RMF). • Address risks identified by MITRE ATLAS and the OWASP ML and AI Top 10 lists. • Strengthen organization’s AI ecosystem, safeguarding sensitive data and ensuring ethical, secure, and resilient AI operations. • Develop and implement security controls for AI systems aligned with industry best practices. • Identify and mitigate security risks by analyzing vulnerabilities and threat analysis. • Collaborate with cross-functional teams to ensure security is embedded throughout the AI development lifecycle. • Perform threat modeling, penetration testing, and vulnerability assessments tailored to AI. • Design mechanisms to detect and defend against adversarial attacks, data poisoning, and model inversion threats. • Monitor AI systems post-deployment for ongoing compliance with security standards.

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Cybersecurity, or a related field, or equivalent experience. • Proven experience in AI security, machine learning engineering, or cybersecurity roles. • Proficiency in AI/ML concepts, including model training, evaluation, and deployment. • Strong knowledge of security frameworks such as the NIST AI RMF, MITRE ATLAS, and the OWASP ML and AI Top 10 lists. • Experience with programming languages such as Python and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Understanding of adversarial machine learning techniques and defenses. • Excellent communication and collaboration skills to work effectively with diverse teams.