Machine Learning Engineer

Docler Holding

vacanciesin.eu

Company Description

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:

  • LiveJasmin.com, a market leader in the live streaming industry
  • Jasmin.com, a platform that helps people make authentic connections
  • Oranum.com, the pioneer and largest global online esoteric space
  • TwinRed, a leading service provider in the digital advertising sector

Job Description

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 

Qualifications

  • 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

Additional Information

  • Exceptional Salary Package
  • Professional challenges
  • Working in a creative and innovative environment with amazing colleagues
  • High degree of independence, rapid professional development
  • Cafeteria. (gross 500.000 Ft / year)
  • Private health insurance (Waberer Medical)
  • AYCM sportpass

Docler Group is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management’s discretion. 

NOTE: Docler Group does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.

We are in it for the long haul so your future is safe with us.

We are always on the lookout for fresh talent to join our #doclersquad!

Apply now
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