Real-Time AI Systems Engineer
6 days ago
Real-Time AI Engineer PositionWe are seeking an experienced Machine Learning/Computer Vision Engineer to build and deploy real-time AI systems focused on video analytics. This high-impact role involves developing, optimizing, and deploying tracking, action recognition, and VLM-based models in production environments.About the RoleThe ideal candidate will have at least 2-4 years of experience in building and deploying computer vision models using Python. Strong problem-solving skills and a deep understanding of scalable inference pipelines are essential.ResponsibilitiesDevelop, optimize, and deploy Computer Vision, Tracking, Action Recognition, and VLM models to production environments.Build and manage real-time video pipelines using RTSP and FFmpeg for multi-stream handling.Deploy AI inference services on cloud 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.Required SkillsStrong 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.BenefitsWork in a high-impact role within a Swedish funded AI company.Direct influence on how cutting-edge AI systems are deployed across real-world infrastructures.Access to a highly technical team with expertise in AI, computer vision, and systems engineering.Competitive compensation and benefits.Remote-first setup with occasional on-site fieldwork.Opportunity to define and scale infrastructure practices from the ground up.How to ApplyPlease apply through our website, and contact us if you have any questions.
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