innovative leader in AI-driven audio technology, pioneering advancements in digital signal processing (DSP) and generative AI. With a cutting-edge approach to watermarking, forensicanalysis, and sound synthesis, this company is shaping the future of audio authenticity and AI-powered content creation. Their rapidly growing team collaborates … in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensicanalysis in a fast-paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and … enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based forensic audio analysis and watermarking techniques to ensure authenticity and attribution. Collaborate with interdisciplinary teams to manage and preprocess large datasets for AI training. More ❯
through operational leadership and capabilities. We’re looking for a Level 3 SOC Analyst to join our client's team, offering expertise in security analysis and incident response to help drive the success of their Cyber Security Operations Center (CSOC). In this role, you will investigate and validate … Advanced Incident Response: Handle escalated security incidents that L1 and L2 analysts cannot resolve, such as sophisticated malware infections, APTs, and complex intrusions. Lead forensicanalysis and threat hunting efforts to ensure rapid containment and recovery. Security Analysis and Root Cause Analysis: Conduct detailed analysis of security events to address current cyber threats. Participate in or lead security event analysis activities. Security Reporting and Advisories: Contribute to or lead the delivery of cyber security reports and advisories to key stakeholders. Residual Risk Assessment: Deliver post-incident analysis, technical lessons learned, and reporting More ❯
driven products. Key Responsibilities: Architect, build, and maintain efficient, scalable, and reliable data pipelines. Curate, onboard, and document external datasets for internal use. Conduct forensic data analysis and troubleshooting to ensure data quality. Produce high-quality, maintainable code and contribute actively to peer reviews. Collaborate with stakeholders to More ❯
