Machine Learning Engineer

Mid-level
🇭🇺 Hungary
Machine Learning Developer
Data science & Analytics

Our Machine Learning R&D team designs create & use state-of-the-art solutions to solve problems in live streaming apps. We apply AI where it is beneficial and profitable, thus not limiting ourselves to a single topic in the AI world.

For us it's always important to work with as motivated and crazy people as we are . If you are looking for real-life challenges, join us to build an independent ML system together.

  • Design, build, train and test Machine Learning models which can learn and respond to complex situations
  • Brainstorm solutions to the toughest problems alongside a team of smart, creative, passionate engineers and scientists
  • Write production-level code to convert your ML models into working pipelines that are used every day
  • Work closely with Data Scientists, other Machine Learning Engineers, and Scientists to create, train, evaluate and deploy models
  • Optimize model and code to perform at scale
  • Participate in code reviews to ensure code quality and distribute knowledge

Requirements

  • B.S., M.S. or Ph.D. in Computer Science, Engineering, or related technical field
  • 3+ years of industry or research experience developing Machine Learning models
  • Fluency in Python and experience with commonly used data science packages
  • Interest in Computer Vision, Natural Language Processing, Audio Processing projects
  • Deep knowledge of ML libraries like Scikit-Learn, Tensorflow, PyTorch, etc.
  • Excellent understanding of classical and deep machine learning techniques and algorithms
  • Experience with common statistics methodologies (distributions, clustering, regression, forecasting, classification, regularization, resampling)
  • "Engineer at heart" with a high degree of comfort in designing software systems and producing high-quality code
  • Great communication and collaboration skills

 

Docler Holding

Docler Holding

Unique, exciting, fun-loving, and fast-growing company offering entertainment products and services to millions of users worldwide.

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