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Required Gen AI Security Researcher
ABOUT THE POSITION
As a Red Team Specialist focused on Generative AI Models, you will play a critical role in enhancing the security and integrity of our cutting-edge AI technologies. Your primary responsibility will be to conduct simulated cyber attacks and penetration testing on our generative AI systems, including but not limited to language models, image generation models, and any related infrastructure. The goal is to identify vulnerabilities, assess risks, and provide actionable insights to fortify our AI models against potential threats.
Key Responsibilities:
Simulated Cyber Attacks: Conduct sophisticated and comprehensive simulated attacks on generative AI models and their operating environments to uncover vulnerabilities.
Vulnerability Assessment: Evaluate the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Risk Analysis: Perform thorough risk analysis to determine the impact of identified vulnerabilities and prioritize mitigation efforts.
Mitigation Strategies: Collaborate with development and security teams to develop effective strategies to mitigate identified risks and enhance model resilience.
Security Protocols Development: Aid in the creation and refinement of security protocols and best practices for the development and deployment of generative AI models.
Research and Innovation: Stay abreast of the latest trends and developments in AI security, ethical hacking, and cyber threats. Apply innovative testing methodologies to ensure cutting-edge security practices.
Documentation and Reporting: Maintain detailed documentation of all red team activities, findings, and recommendations. Prepare and present reports to senior management and relevant stakeholders.
Training and Awareness: Provide guidance and training to technical and non-technical teams on security awareness and best practices related to generative AI.

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The candidate should demonstrate a deep understanding of Computer Vision and Deep Learning.
As a Computer Vision Researcher, youll take part in our innovation efforts to become the market leader in sports tracking and analytics solutions.

Job Summary: Join Phone.do to push the boundaries of artificial intelligence in communication solutions. As an AI Developer, you will primarily focus on developing robust, scalable applications using Retrieval-Augmented Generation (RAG), enhancing Chain of Thought capabilities, and employing Genetic Algorithms to optimize our solutions. Key Responsibilities:
Develop and optimize Retrieval-Augmented Generation (RAG) models to enhance decision-making and content generation. Implement Chain of Thought processes to improve problem-solving and user interaction within AI-driven systems. Design and manage Knowledge Graphs, focusing on building and visualizing complex data structures that support AI functionalities. Employ Genetic Algorithms for optimizing decision trees.

We are looking for a Clinical AI Specialist.
As part of the Clinical AI team, you will:
Help train AI algorithms by performing anatomical segmentations
Be up to date with recent medical research relating to the our product strategy
Contribute to the creation of the clinical concepts for the products
Help monitor performance of the products
Train and educate the greater team on medical topics.

Key Responsibilities:
Customer Engagement: Gain a thorough understanding of the business challenges and data requirements of customers through detailed discussions and comprehensive data analysis.
Expertise Demonstration: Effectively communicate the value and potential of our data and AI solutions to meet and exceed customer needs.
Solution Architecture: Architect and design state-of-the-art solutions leveraging extensive knowledge of data and AI technologies.
Collaborative Leadership: Work closely with sales, engineering, and other teams to drive successful customer engagements and achieve desired outcomes.
Knowledge Expansion: Continually update and broaden your expertise in the latest data and AI technologies and industry trends.
Technological Leadership: Provide mentorship and technical guidance to team members, fostering their development and enhancing the teams overall capa