Linker Vision 給你帶來AI的全新視野!我們是一群年輕、充滿熱情的AI愛好者於2021年創立的公司。在這裡,我們不僅專注於開發AI自動學習平台,也投入研究建設智慧工廠和智慧城市的軟實力,實現用科技真正改變世界。
Are you ready to dive into the exciting world of computer vision AI development? At Linker Vision, you'll collaborate with a talented team to build an innovative AI platform that promises to revolutionize the industry. We're passionate about pushing the boundaries of AI technology and making a difference in the world. Join our dynamic team where innovation thrives, and your contributions matter.
▋What You Will Do:
▸ Participate in the entire development lifecycle of the MLOps platform
▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic
▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs).
▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges
▸ Build reusable code and libraries for future use
▋What Skill/Experience You Must Have:
▸ Proficient in Python and Experience Python web frameworks (We use Django & Django Rest Framework)
▸ In-depth understanding containerized technologies and management tools (e.g Docker, Kubernetes, Helm)
▸ Experience in parallel task processing.
▸ Familiar with RDBMS (We use PostgreSQL) and having experience of performance tuning
▸ Familiar with cloud platforms (e.g. Azure, AWS, GCP)
▸ Familiar with writing unit tests, integrations tests and automation
▸ Experience in CI/CD tools (e.g. Github Action, Jenkins and Drone CI)
▋Our Values
❮Adaptive❯
We do our best to plan, but we also understand that keeping up with changes is challenging. Therefore, managing chaos is significant, particularly when growing a business.
❮Agile❯
Hacker spirit is within everyone's blood, not just engineers. We always find ways to unblock obstacles, make things work, and hold ourselves accountable for the result.
❮Teamwork❯
One man alone may have blind spots. That's why we need to team up and rely on each other.
▋面試流程(通過後進入下一階段且皆為遠端面試)
Stage 1. HackerRank Coding Test (1h)
Stage 2. RD Manager (1h)
Stage 3. CTO (1h)
Stage 4. CEO (40mins-1h)
This role might be the one you've been looking for if you are eager to get early access to cutting-edge AI and robotics technologies and be passionate about integrating hardware and software to apply AI in solving real-world challenges!
Join us if you're up for the challenge; also, providing an English CV would be a plus!
#Advanced communication skills in English is a must!
*About the Role:
We are looking for an engineer to build and deploy AI agents that can see and interact with the world through robotics systems. You will be working on everything from setting up hardware to coding intelligent agents for customer demonstrations.
*What You Will Do:
Hardware Setup & Deployment (20-30%)
•Install and configure Nvidia Jetson devices on robots
•Set up vision systems and troubleshoot hardware issues
•Ensure quick deployment for demos and exhibitions
*AI Agent Development (40-50%)
•Build AI agents using Large Language Models (LLMs)
•Work with AI frameworks like LangChain, CrewAI, or Hugging Face
•Connect AI agents to computer vision tools and robot controls
•Use platforms like Nvidia Agent Studio or Autogen for UI development
•Debug and optimize AI pipelines to meet project goals
*Computer Vision (10-20%)
•Work on object detection, image segmentation, or OCR systems
•Train and optimize vision models for robotics applications
•Develop new AI vision tools as needed
*Technical Requirements:
•Programming: Strong Python and PyTorch skills
•AI Frameworks: Experience with at least 1 LLM frameworks (LangChain, CrewAI, Nvidia NanoLLM/Agent Studio, Autogen, n8n, etc.)
•Computer Vision: 2+years experience in CV areas ex. object detection/segmentation
•Edge Computing: Experience with Nvidia Jetson devices
•Optimization: Knowledge of TensorRT, ONNX, or similar inference frameworks
•Development: Git, CI/CD, Linux/Windows environments
*Qualifications:
•Master's degree in Engineering, Computer Science, or related field
•2+ years of hands-on AI/Computer Vision experience
•Strong English communication skills is a must
•Ability to present technical solutions clearly
•Flexible and collaborative team player
若您渴望搶先接觸尖端AI與機器人技術,並希望透過融合硬體與軟體以實現運用AI技術來解決現實世界中會面臨到的問題的話,本職務或許是您正在尋覓的機會!
具體工作內容如下:
部屬與設置硬體設備(20-30%)
1.在機器人上安裝並配置 Nvidia Jetson
2.設置視覺系統並排除硬體設備相關問題
3.展場部屬設置
AI 代理開發(40-50%)
1.使用大型語言模型(LLMs)構建 AI 代理
2.使用 LangChain、CrewAI 或 Hugging Face 等 AI 框架
3.將 AI 代理與電腦視覺工具和機器人控制系統連接
4.使用 Nvidia Agent Studio 或 Autogen 等平台開發 UI
5.除錯並優化 AI 處理流程,以達成專案目標
電腦視覺(10-20%)
1.開發物體偵測、影像分割或光學字元辨識(OCR)系統
2.訓練並優化應用於機器人的視覺模型
3.根據需要開發新的 AI 視覺工具
技術要求:
1.程式設計:熟悉Python 和 PyTorch
2.AI 框架:至少熟悉一種 LLM 框架(如 LangChain、CrewAI、Nvidia NanoLLM/Agent Studio、Autogen、n8n 等)
3.電腦視覺:具備 2 年以上物體偵測或影像分割等相關經驗
4.邊緣運算:有使用 Nvidia Jetson 裝置的經驗
5.優化技術:熟悉TensorRT、ONNX 或類似推論框架
6.開發環境:熟悉Git、CI/CD、自如於 Linux/Windows 環境中工作
必要條件:
1.工程、計算機科學或相關領域之碩士學位
2.至少 2 年以上 AI / 電腦視覺實作經驗
3.具備良好的英語溝通能力(請準備英語簡歷)
4.能清楚表達技術解決方案
5.樂於協作的團隊精神
We are seeking a motivated Automation QA Engineer to join our dynamic Quality Assurance team. The successful candidate will play a pivotal role in ensuring the quality and reliability of our software products through testing and troubleshooting. This is an excellent opportunity for an individual with a strong foundation in Python and a passion for quality assurance to contribute to our innovative projects.
Responsibilities:
- Collaborate with the infrastructure team to create and implement test scripts using Python and established libraries.
- Review and analyze stack traces to identify and report software defects and anomalies.
- Independently set up and configure test environments and testbeds, demonstrating the ability to work with minimal guidance.
- Execute basic ADB commands for testing and troubleshooting (optional skill).
Perform network troubleshooting tasks, including IPv4/IPv6 setup and diagnosis (optional skill).
- Utilize basic Docker and Linux commands to support testing efforts (optional skill).
- Communicate effectively within the QA team and cross-functionally with development teams to ensure smooth testing processes.
- Document test cases, procedures, and results accurately.
- Collaborate with team members to improve testing methodologies and strategies.