Machine Learning Engineer

  • 39155
  • Non-Life - Data Science
  • |
  • Hong Kong
  • |
  • Feb 22, 2021
  • Use machine learning and advanced statistics to help build innovative solutions for real-life customer and business problems
  • Develop and deploy to production data and machine learning pipeline at scale
  • Influence the AI roadmap for the largest home, auto business insurer
  • Explore new technologies and use them in your own solutions
  • Validate the analytical approach and project outputs of other team members
  • Grow alongside a diverse team of world-class experts in data science, software engineering, actuarial science, business and design
  • Mentor and coach interns and other engineers to help us grow, as a team
  • A bachelor’s degree in a discipline such as computer science, software engineering, AI, or a related field. MSc is an asset
  • 2+ years of experience solving business problem using machine learning
  • Expertise in programming in languages such as Python and machine learning libraries such as Tensorflow, PyTorch, scikit-learn, etc.
  • Expertise with the machine learning development lifecycle
  • Experience developing data and machine learning pipelines
  • Familiar with the underlying theory of machine learning
  • Unlimited curiosity and the desire to challenge the status quo
  • You can take a vaguely defined issue and bring it to life using a creative approach
  • Strong communication, time management and work organization skills
  • The passion for developing world-class data products
  • Knowledge of DevOps modern tools such as Docker, Kubernetes, ELK;
  • Knowledge of our tech stack: scikit-learn, xgboost, LightGBM, tensorflow, etc