DEEP LEARNING ENGINEER
MobiDev
Athens, Greece
πριν από 2 μέρες
source : Just Join IT

Data Science (regular)

Machine Learning (regular)

Python (regular)

Deep Learning (advanced)

Modern businesses ranging from emerging companies to large enterprises express interest in application of Data Science. MobiDev covers this direction and invites a talented expert.

Our guys are involved in projects connected with : time series (forecasting, classification), recommendation systems, NLP, resource optimization, and computer vision.

It doesn’t really matter who you are : a gorgeous mathematician, an analyst, or a programmer. Yet if you know how to work with large volumes of data, structure, analyze and synthesize it, you can be the one to develop this direction.

So if you are ready to face tasks that will unlock your potential, we’ll be glad to invite you to our friendly team and provide you with everything you need to grow professionally and achieve new goals.

Required skills :

  • 1+ years of commercial experience with Machine Learning / Data Science;
  • Practical skills with Python;
  • Familiarity with TensorFlow, Keras, or PyTorch;
  • Experience in technologies for efficient neural network training (various optimizers, regularization, transfer learning, etc);
  • Knowledge of basic model quality assessment metrics;
  • At least Intermediate English.
  • Responsibilities :

  • Business and Data understanding;
  • Developing solution based on ML / DL model;
  • Implementing data and training pipelines;
  • Evaluating model performance.
  • Areas of current projects :

  • Computer Vision;
  • NLP;
  • Time series (forecasting, classification);
  • Recommendation systems;
  • Resource Optimization.
  • The benefits you will get :

  • Ability to influence processes and best practices;
  • The opportunity of expanding your technical background;
  • Long-term cooperation by B2B contract;
  • Income that grows along with your achievements;
  • Compensation for both internal and external English language training;
  • Sports compensation;
  • Flexible working hours and approach to work fully remotely, from our Lodz office or hybrid;
  • Paid vacation and sick leaves.
  • Αναφορά αυτής της εργασίας
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