Senior AI Systems Engineer

4 days ago

shimoga, India beBeeArtificialintelligence Full time

Job Opportunity: Expert AI Systems EngineerAbout the RoleWe are seeking an experienced expert to develop and deploy real-time AI systems focused on video analytics. The successful candidate will work on developing, optimizing, and deploying tracking, action recognition, and VLM-based models in production environments.Key Responsibilities:Develop, optimize, and deploy Computer Vision, Tracking, Action Recognition, and VLM models to production.Build and manage real-time video pipelines using RTSP and FFmpeg for multi-stream handling.Deploy AI inference services on GCP/Cloud/local server infrastructure with auto-scaling and GPU acceleration.Build scalable inference services using Flask/FastAPI, Docker, and REST APIs.Work with CUDA, GPU optimization, TensorRT/ONNX for real-time model performance.Implement model optimization techniques (quantization, pruning, batching, async pipelines).Build robust multi-threaded/multi-process systems for high-throughput streaming.Debug and profile performance bottlenecks across model, networking, and system layers.Collaborate across research and engineering teams to deliver production-ready solutions.Required Skills and Qualifications:Strong programming skills in Python.Hands-on experience with model deployment in real-time applications.Expertise in RTSP streaming pipelines (decoding, multi-camera ingest, latency optimization).Strong experience with FFmpeg for real-time video manipulation.Cloud deployment experience with GCP (firestore/Cloud Run/GPU instances/Storage).Strong knowledge of CUDA, GPU acceleration, memory optimization.Experience building APIs using Flask/FastAPI, and creating robust REST API services.Proficiency with Docker and container-based deployments.Strong debugging, profiling, performance optimization experience.Experience with multithreading/multiprocessing.Experience working with tracking models, action recognition models, or VLMs.What We Offer:Opportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Professional development and growth opportunities.

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