Responsibilities

📍Independently manage AI projects throughout their lifecycle, including requirement gathering, development, deployment, and evaluation, ensuring alignment with organizational goals and timelines. 📍Collaborate with cross-functional teams to understand requirements for AI solutions, identify pain points, analyze objectives, and translate them into actionable deliverables and workflows. 📍Prototype AI-based security solutions using state-of-the-art techniques in deep learning, natural language processing (NLP), and computer vision. 📍Develop scalable AI solutions for production environments, transitioning prototypes into stable systems capable of serving a growing user base. 📍Automate security workflows for the Security and Privacy teams to improve decision-making and optimize operational efficiency. 📍Evaluate AI model performance through rigorous testing, benchmarking, and algorithm refinements to enhance reliability and accuracy. 📍Implement industry best practices and security protocols for AI model development and deployment, ensuring compliance with ethical standards and mitigating risks associated with adversarial attacks and vulnerabilities. 📍Stay updated on emerging AI security trends, risks, and compliance challenges. 📍Own and manage security assurance projects in both security analysis and project management capacity, coordinating efforts across internal stakeholders and meeting project milestones. 📍Coordinate with internal and external stakeholders to analyze security risks in critical systems and ensure compliance with security standards. 📍Document identified security risks, track remediation efforts, and provide regular updates to key stakeholders, including senior management.

Requirements

📍Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Equivalent industry experience will also be considered. 📍Proficiency in programming with languages such as Python, Java, C++, or similar, and experience working with frameworks like PyTorch, TensorFlow, or other ML libraries. 📍Hands-on experience with prompt engineering, natural language processing (NLP), and fine-tuning large language models (LLMs). 📍Demonstrated ability to independently manage AI projects, including requirement gathering, development, deployment, and evaluation. 📍Experience in building automated workflows for security-related processes using relevant tools and platforms is a plus. 📍Knowledge of cybersecurity principles, risk assessment, and AI-specific security methodologies is a plus.

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