Computer Vision & Edge AI Engineer

Bnk solution - Công Ty Cổ Phần Giải Pháp BNK

Hà Nội

Thỏa thuận

30/11/2026

Toàn thời gian

Ứng tuyển

Ngành nghề:

IT phần mềm, Công nghệ cao

Job Description

Research, design, and develop AI solutions for company projects and products in Computer Vision, video analytics, Edge AI, robotics, and smart factory domains.
Build and maintain end-to-end Computer Vision pipelines, including camera or video stream ingestion, preprocessing, model inference, object tracking, post-processing, event generation, system integration, and result validation.
Develop, train, evaluate, and optimize AI models for use cases such as object detection, object tracking, image classification, segmentation, human and obstacle detection, industrial inspection, and camera-based localization.
Work with Computer Vision and AI technologies such as OpenCV, PyTorch, TensorFlow, ONNX Runtime, YOLO, or equivalent frameworks and solutions.
Integrate AI models with IP cameras, RTSP video streams, recorded video, GPU servers, and edge devices.
Develop and optimize real-time or near-real-time video processing pipelines for single-camera and multi-camera systems.
Monitor and optimize inference performance, including FPS, latency, GPU utilization, memory consumption, throughput, and system stability.
Analyze technical bottlenecks across camera ingestion, video decoding, preprocessing, inference, tracking, and downstream integration.
Apply model optimization and deployment technologies such as ONNX, TensorRT, NVIDIA DeepStream, GStreamer, or equivalent solutions when appropriate.
Develop AI services, backend APIs, or microservices to integrate AI capabilities into production systems.
Collaborate with Backend, Frontend, Robot Control, Quality Engineering, and Infrastructure teams to deliver end-to-end AI applications.
Work closely with Business Analysts and Project Managers to understand requirements, define technical assumptions, identify risks, and establish acceptance criteria.
Review existing AI architectures, source code, and pipelines, and propose improvements related to performance, scalability, maintainability, reliability, and operating cost.
Monitor model and system performance, analyze errors, and propose improvements to increase accuracy and operational stability.
Prepare and maintain technical documentation, benchmark reports, deployment guides, troubleshooting guides, and reusable AI components.
Support knowledge sharing, code review, and technical guidance for other AI engineers.
Participate in technical discovery, feasibility assessment, proof-of-concept planning, and solution proposal activities after the onboarding and training period.
Explain technical approaches, limitations, assumptions, and validation requirements clearly to internal teams and customers.
Collaborate with LLM and Intelligent Document Processing teams for multimodal or cross-domain AI use cases when required.
Ensure AI solutions comply with data security, access control, system reliability, and information security requirements.

Qualifications

Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
Minimum 5 years of hands-on professional experience primarily focused on Computer Vision, Edge AI, real-time video analytics, or closely related applied AI areas.
For candidates transitioning from Software Engineering, Backend, Embedded, or Full-stack development, minimum 7 years of total professional engineering experience is required, including at least 3 years of hands-on production experience in Computer Vision or Edge AI.
Strong Software Engineering foundation and experience developing AI features beyond research notebooks or standalone experiments.
Strong Python programming skills.
Hands-on experience with one or more Computer Vision use cases, such as object detection, object tracking, image classification, image segmentation, video analytics, human or obstacle detection, or industrial image inspection.
Experience with AI and Computer Vision frameworks such as OpenCV, PyTorch, TensorFlow, ONNX Runtime, YOLO, or similar technologies.
Experience integrating AI models into applications, backend services, APIs, microservices, or production systems.
Understanding of model evaluation metrics such as accuracy, precision, recall, F1-score, mAP, false positive rate, and false negative rate.
Experience analyzing model performance in real-world environments, not only on offline datasets.
Familiarity with Linux, Git, Docker, and standard software development practices.
Familiarity with REST APIs, backend integration, databases, message queues, or system-to-system communication.
Ability to analyze technical issues, identify root causes, and troubleshoot complex AI or software problems.
Ability to understand system architecture and work across model, application, integration, and deployment layers.
Strong analytical, problem-solving, self-learning, and ownership skills.
Good communication skills and the ability to explain technical issues in a clear and structured manner.
Ability to read technical documentation in English and work effectively with cross-functional teams.

Nice to have

Experience with NVIDIA DeepStream, GStreamer, TensorRT, CUDA, or GPU profiling tools.
Experience processing RTSP streams, IP camera feeds, recorded video, or multi-camera systems.
Experience with real-time video analytics, hardware-accelerated video decoding, frame synchronization, stream reconnection, or video pipeline optimization.
Experience deploying AI workloads on NVIDIA GPU servers, NVIDIA Jetson devices, or other Edge AI platforms.
Experience with ONNX conversion, FP16 or INT8 optimization, model quantization, or inference acceleration.
Experience with C++ for Computer Vision, video processing, or high-performance AI applications.
Experience with FastAPI, Flask, Django, [protected info], Java, Go, Rust, or equivalent backend technologies.
Familiarity with WebSocket, MQTT, Kafka, RabbitMQ, Redis, or other message-based integration technologies.
Experience with smart factories, industrial cameras, robotics, AMR, AGV, PLC, Remote I/O, or industrial automation systems.
Experience with camera calibration, coordinate transformation, AprilTag, ArUco markers, or camera-based robot localization.
Experience building monitoring dashboards, operator HMI, or visualization systems for AI and robotics applications.
Experience with Kubernetes, CI/CD pipelines, cloud platforms, on-premises deployment, or infrastructure monitoring.
Experience with LLMs, VLMs, RAG, Document AI, OCR, NLP, vector databases, prompt engineering, agent workflows, or multimodal AI applications.
Experience integrating Computer Vision results with LLM-based or Intelligent Document Processing solutions.
Experience participating in technical workshops, customer meetings, solution consulting, or technical pre-sales activities.
Ability and willingness to develop toward a technical ownership, technical lead.

What we offer?

Attractive salary, suitable for working capacity
Review performance twice a year (In working process, Candidate can be reviewed continuously before the term if the job is successfully completed)
Devices provided (Laptop, PC, mouse, monitor...)
Working hours: HN, Vinh: 8:30 - 17:30, HCM: 9:00 -18:00, 5 days/ week.
Enjoying good remuneration of company when becoming an employee: social insurance, PTI insurance, annual company trip,...
Recognition and rewards based on your performance
High promotion opportunity
Good career path development
Creative, modern and open working place
Continuous and professional training to fully develop your potential

Thông tin chung

Thu nhập: Thỏa thuận

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Vị trí Computer Vision & Edge AI Engineer do công ty Bnk solution - Công Ty Cổ Phần Giải Pháp BNK tuyển dụng tại Hà Nội, Joboko tự động tổng hợp mức lương Thỏa thuận, tìm thêm việc làm về Computer Vision & Edge AI Engineer hoặc công ty Bnk solution - Công Ty Cổ Phần Giải Pháp BNK ở các link phía trên

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