MLOps | DataOps Product Owner

Type: Full Time
Location: Shanghai

Join our Team and watch the magic happen!

“Talent wins games, but teamwork and intelligence wins championships”

We aim to get better every day. Therefore we are looking for professionals like YOU!

You are an experienced specialist in your field, with us you will surely find the right challenge.
Primary Duties and Responsibilities

  • Investigate machine learning toolchain product in the market, design the machine learning toolchain for autonomous driving development
  • Investigate machine learning continuous assurance framework/method, design the framework/testing process to ensure machine learning model robustness, safety, fairness
  • Work on CV, NLP, or recommendation enabled in-vehicle product design, cooperate with algorithm developer to improve user experience
  • Write PRD and communicate with developers and testers to push forward the product development
  • Cooperate with German colleagues to discuss the product proposal, split and align tasks for Chinese development team
  • Clearly plan our product roadmap and resources to support AI training platform development, such as MLOPS, DataOps and etc. 
  • Coordinate across departments to promote product development
  • Investigate vehicle data-driven and AI driven use cases; identify opportunities for product innovation and product enhancements; prepare document to promote product ideas


  • Master’s degree or above in computer related major 
  • 1-3years’ experience of product owner; 1-3 years’ experience of AI algorithm developing would be a plus
  • Work experience with computer vision, natural language processing, recommendation system, etc.
  • Strong working experience on AI platform production definition , can organize resource and prioritize the resources and team to support AI development from both process, method and tools.
  • Familiar with AI training concept around model governance, model lifecycle mgmt. and MLOPS concept and related tools, such as MLFlow, DVC, Kuberflow and etc. 
  • Understanding with traditional machine learning algorithm: HMM, RF, SVM, LR, GBDT, etc.
  • Have some knowledge of Neural Networks (tensorflow, tensorflow lite, Keras, caffe, etc.)
  • Proficient in Microsoft office software, have the experience of using Axure would be a plus
  • Have the experience of using mature algorithm development platform would be a plus
  • Strong communication skills especially on cross-department communication
  • Strong responsibility and anti-pressure capability
  • Fluent in listening, speaking, and writing English; German language skills as a plus

Ready for the challenge? We would be glad to receive your motivation letter, CV, salary expectations and certificates. 

Apply for this position

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