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Machine Learning Engineer in Innovation Group

Posted more than 30 days ago

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Innovation Group

Innovation Group

0
0 reviews
Without experience
Odesa
Full-time work
We — Innovation Group — conduct our activities on the territory of Ukraine in the field of software development. We specialize in the development, support and promotion of web applications. Thank you for your interest in our vacancy and feedback. Due to the large number of responses to this vacancy, we are forced to inform you: if we do not contact you within the next week, it will mean that for the current at the moment we are not considering your candidacy for the next stage of selection. Howe
We — Innovation Group — conduct our activities on the territory of Ukraine in the field of software development. We specialize in the development, support and promotion of web applications. Thank you for your interest in our vacancy and feedback. Due to the large number of responses to this vacancy, we are forced to inform you: if we do not contact you within the next week, it will mean that for the current at the moment we are not considering your candidacy for the next stage of selection. However, your CV will be stored in our database and we will be sure to notify you of vacancies matching your experience as they become available. Thank you for your understanding and we wish you success in your career search. Required knowledge and skills: Experience with Python and machine learning libraries (e.g. scikit-learn, TensorFlow, PyTorch).Knowledge of machine learning algorithms (classification, regression, clustering, neural networks). Experience with SQL and databases. Understanding of the principles of recommender systems and anomaly detection algorithms. Experience with big data and processing tools (for example, Hadoop, Spark). Knowledge of the basics of statistics and mathematical modeling. Responsibilities and tasks: Development and implementation of machine learning algorithms to improve user retention systems. Creation and optimization of recommender systems. Development and implementation of models for fraud detection and prevention. Analysis of large volumes of data to discover insights and improve algorithms. Collaboration with development teams and analysts to integrate ML solutions in business processes. It will be a plus: Experience with cloud platforms (AWS, Google Cloud, Azure). Knowledge of machine learning automation frameworks (e.g. MLflow, Kubeflow). Experience with containerization and orchestration (Docker, Kubernetes). Knowledge of English at a level that allows you to read technical documentation. We offer: Flexible schedule; Annual perfomance review; 20 days of vacation, 5 day-offs, 15 hospital days, days off on public holidays; Birthday gifts, bonuses for personal family holidays and many more pleasures; Medical insurance from the UNIQA company; Participation at conferences and specialized training events at the expense of the company; Personal new work equipment; Convenient payment of wages; Corporate discounts and personal merch; Constant communication support on all necessary issues.
Without experience
Odesa
Full-time work
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