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Senior Machine Learning Engineer
il y a 1 semaine
Unique, exciting, fun-loving, and fast-growing – Welcome to Docler Group which is the umbrella company of Byborg Enterprises Since launching in 2001, we have created products and experiences that entertain millions of people across the globe. We now serve more than 50 million users a day and are consistently among the top visited websites in the world with following in the millions
Our top-ranking websites include:
- , a market leader in the live streaming industry
- , a platform that helps people make authentic connections
- , the pioneer and largest global online esoteric space
- TwinRed, a leading service provider in the digital advertising sector
Position
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
Your qualificationB.S., M.S. or Ph.D. in Computer Science, Engineering, or related technical field 5+ 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
What we offerAn exceptional compensation package along with relocation support to help you move to the Grand DuchyYour health is our wealth: private health insurance and free gym membershipOn top of the minimum 26 vacation days, we also provide additional days the longer you work for usWe offer breakfast for our employees every day to help them begin the workdayThe opportunity to see your work directly contribute to the success of the companyWhen you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growthYou're joining a family and you are going to look the part We give out company-branded merchandise and clothes to every single new joiner
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