C2-Scale Analytics Pipelines: Architect robust Python/C++ pipelines using frameworks like NVIDIA DeepStream, GStreamer, or OpenCV to execute concurrent video analytics across hundreds of live camera feeds.
Actively prospect and generate leads through methods such as door-to-door canvassing, cold calling, networking, and other creative outreach strategies to secure new corporate clients for WSQ training programs.
Plan, coordinate, and execute on-site activities relating to the build, configuration, maintenance, and break-fix support of Virtual Private Cloud (VPC) infrastructure within the Data Center.
Job Description - Lead Post-Training R&D System: Take ownership of the full-stack algorithm R&D for post-training of Vision-Language Models (VLMs). Deeply explore Supervised Fine-Tuning (SFT) and reinforcement learning alignment algorithms (e.g., RLHF, PPO, GRPO),continuously pushing the boundaries and elevating the capability ceiling of vision foundation models.
Provide day-to-day IT infrastructure and operational support for servers, networks, systems, cloud services, and end-user devices through helpdesk, remote, and onsite support.