Data Scientist

Job Description: Join an industry trailblazer in cloud-first networking and security services at an unparalleled time of transformation as a Senior Data Scientist within the data science team. You will lead pivotal AI Ops and Generative AI projects, turning innovative ideas into impactful AI solutions in close collaboration with software engineering and product teams. The role requires a blend of technical prowess in AI and ML solutions, a passion for simplifying complex network security issues, and the drive to be a part of a leading team shaping the future of networking technologies. Key Responsibilities: - Set the vision and goals for AI Ops and Generative AI efforts, emphasizing project impact and ML system design. - Adapt standard machine learning methods for maximum efficiency using cloud computing and GPUs. - Lead in the development of ML best practices and foster an engineering culture of collaboration and continuous improvement. - Develop scalable classifiers and tools addressing recommendation, classification, and optimization. - Collaborate on feature roadmaps and work closely with the engineering team to deliver ML solutions. Qualification Required: - Proficiency in Machine Learning and Data Mining. - Expertise in Python and Spark development and debugging. - Proven track record in technical leadership and project management. Job Description: Join an industry trailblazer in cloud-first networking and security services at an unparalleled time of transformation as a Senior Data Scientist within the data science team. You will lead pivotal AI Ops and Generative AI projects, turning innovative ideas into impactful AI solutions in close collaboration with software engineering and product teams. The role requires a blend of technical prowess in AI and ML solutions, a passion for simplifying complex network security issues, and the drive to be a part of a leading team shaping the future of networking technologies. Key Responsibilities: - Set the vision and goals for AI Ops and Generative AI efforts, emphasizing project impact and ML system design. - Adapt standard machine learning methods for maximum efficiency using cloud computing and GPUs. - Lead in the development of ML best practices and foster an engineering culture of collaboration and continuous improvement. - Develop scalable classifiers and tools addressing recommendation, classification, and optimization. - Collaborate on feature roadmaps and work closely with the engineering team to deliver ML solutions. Qualification Required: - Proficiency in Machine Learning and Data Mining. - Expertise in Python and Spark development and debugging. - Proven track record in technical leadership and project management.