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Summary
About the Role
About You
- Advanced degree in computer science, math, statistics, or related fields.
- 7+ years of experience in machine learning, neural networks, deep learning, or related fields.
- Advanced math and statistics skills including linear algebra, calculus, and Bayesian statistics.
- Strong analytical, problem-solving, communication, and teamwork skills.
- Software engineering skills.
- Experience in data science.
- Proficiency in programming languages including Python, Java, C++, C, R, and JavaScript.
- Experience with ML frameworks and libraries such as the Natural Language Toolkit.
- Understanding of data structures, data modeling, and software architecture.
- Knowledge of computer architecture.
- Fluency in cloud platforms such as AWS and Azure.
- Experience developing machine learning pipelines using scikit-learn or R.
- Ability to implement, develop, tune, train Relational AI/Graph AI models, LLM models, NLP/NLU, Behavioral AI, Computer Vision, etc.
𝗠𝗶𝘀𝘀𝗶𝗼𝗻: Prevent human related breaches! 𝗩𝗶𝘀𝗶𝗼𝗻: Powering business innovation through human-centric security at scale Quilr, an innovative cybersecurity firm leveraging AI agents alongside its "Service-as-Software" platform works to proactively prevent human-related security breaches. Traditional tools prioritize infrastructure over people, relying on static policies and reactive alerts. This overwhelms security teams and disrupts operations. Quilr embeds directly into employee workflows, continuously analyzing behavior, offering contextual recommendations, and autonomously mitigating routine threats.
Quilr secures organizations across five areas: 𝗦𝗮𝗳𝗲 𝗔𝗜 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻: Securing generative AI use like ChatGPT 𝗙𝗿𝗶𝗰𝘁𝗶𝗼𝗻𝗹𝗲𝘀𝘀 𝗗𝗮𝘁𝗮 𝗦𝗵𝗮𝗿𝗶𝗻𝗴: Identifying and protecting sensitive data 𝗦𝗮𝗮𝗦 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Monitoring authentication and access risks 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝗿𝗮𝗹 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Delivering just-in-time user guidance 𝗦𝗲𝗹𝗳-𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗹𝗲𝗿𝘁𝘀: Handling routine issues to reduce alert fatigue Powered by five sets of autonomous AI agents: • 𝗗𝗮𝘁𝗮 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗴𝗲𝗻𝘁𝘀: Identify, classify, and protect sensitive data to accelerate compliance • 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗴𝗲𝗻𝘁𝘀: Detect and secure SaaS identity risks; guide access best practices • 𝗛𝘂𝗺𝗮𝗻 𝗥𝗶𝘀𝗸 𝗔𝗴𝗲𝗻𝘁𝘀: Provide real-time feedback to prevent security missteps • 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿 𝗔𝗴𝗲𝗻𝘁𝘀: Perform tasks—clarifications, validations, remediation • 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝗴𝗲𝗻𝘁𝘀: Troubleshoot and resolve device issues collaboratively