We’re always looking for the ones truly passionate about their work. If you are amongst them, you can rest assured there is a place for you in eMAG. We’ve grown very fast and we are determined to keep doing so. What brought us here is our desire for continuous evolution and practical results.   More than 6000 colleagues are part of eMAG Teams. We strongly believe in people development and therefore every year we invest more and more energy and resources to remain an organization that is constantly learning. We want to make sure that you’ll have the most talented colleagues, as well as the proper environment to grow and achieve great results, to become what you desire on a personal and professional level. Join us, grow faster!   Machine Learning Engineer (Web&Mobile Team)   What you’ll have to do:   ·       Work on models for search, recommendations, and advertising; ·       Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies; ·       Create statistical and machine learning models in multiple technologies using best-in-class machine learning approaches; ·       Write production-level code for training and inference: data validation, logging, exception handling, and orchestration.   How we’d like you to be:     ·       Have a degree in a related discipline (Mathematics, Statistics, Data Science, Computer Science); ·       Have knowledge of TensorFlow or PyTorch; ·       Have fluency in SQL and good knowledge of relational databases; ·       Be passionate about asking and answering questions in large datasets; ·       Prove skills in problem solving of complex technical subjects; ·       Be a clear and confident communicator with the ability to translate technical concepts into a concise business focused messages in both technical and management presentations; ·       Have knowledge in the following domains: Anomaly Detection, Time Series Analysis, Unsupervised Learning, Probabilistic Graphical Models, Recommender Systems, Semantic Search; ·       Have the ability to collaborate with an interdisciplinary team to solve problems; ·       Have a good understanding of the design and architecture of big data applications.   What we’ve prepared for you:   ·       Medical subscription: Medicover, MedLife or Regina Maria. ·       A flexible budget that you can invest in yourself as you wish: meal tickets, holiday tickets, cultural vouchers, private pension, foreign language classes, eMAG, Fashion Days, Tazz, Therme & Genius, membership to different gyms or even professional development classes. ·       Different discounts from our partners: banking, mobile, dental medicine or wellness. ·       Access to the Bookster library and free credits on the Atlas psycho-emotional health platform. ·       An accelerated learning environment, with access to over 100.000 curated online resources and platforms, learning academies and development programs.   ·       A friendly office. We redesigned our headquarter office to suit our hybrid work model: we doubled the number of meeting rooms and we equipped them with state-of-the-art technology.   Curious to find out more about the next step in your career? Apply now and if your experience is relevant for the role you wish, we will give you a call for more details!