Own and scale production computer-vision systems for sports video, from detection, tracking and action recognition to model evaluation and GPU inference optimization across high-volume streams.
Newxel jobs
Newxel provides managed engineering teams, staff augmentation, and R&D setup.
10 open roles at Newxel
Creates polished 2D environments, backgrounds, props, illustrations, and campaign imagery by combining traditional design with AI image generation, while maintaining project style and collaborating with creative teams.
Develop and maintain a large-scale mobile security platform, focusing on backend systems while investigating production issues, improving reliability and performance, and turning customer findings into lasting product fixes.
Own production speech and audio services, optimize GPU inference, and build rigorous benchmarks and release gates to evaluate models on noisy, overlapping sports broadcasts.
Own the companyβs cloud security architecture across Azure, AWS, and GCP, embedding policy-as-code guardrails and security controls into infrastructure and delivery pipelines while supporting fast-moving engineering teams.
Build and maintain C#/.NET backend services that process algorithm signals to index live sports video and auto-tag events, while contributing to design, code reviews, and developer mentoring.
Own the Windows endpoint agent end to end, building reliable privileged services, TLS inspection, proxy management, AI-tool integrations, and enterprise deployment while ensuring compatibility with customer environments.
Leads finance and legal strategy through a service-to-product transformation, owning fundraising, global entity structures, group financial performance, team leadership, and governance across jurisdictions.
Build and operate high-throughput.NET services and video-analysis pipelines for real-time sports highlights, scaling event-driven microservices and integrating ML workloads across live broadcast traffic.
Own quality and release decisions across web, API, mobile, and IoT systems by building AI-assisted test automation, validating edge-device behavior, and investigating failures across a distributed platform.
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