Senior Data Scientist - ML Engineer

October 28

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Talentuch

IT recruitment • SAP recruitment • Salesforce recruitment • Microsoft Dynamics recruitment • International recruitment

11 - 50

Description

• Working and professionally communicating with the customer’s team. • Taking up responsibility for implementation and delivering of ML solutions. • Participating in requirements gathering & clarification process, proposing optimal architecture solutions, owning the implementation. • Building and tuning machine learning algorithms for solving business problems in E-commerce and Retail. • Developing AWS machine learning infrastructure to support and maintain model serving and training. • Analysis of data for patterns. • Visualization of data. • Continuous learning.

Requirements

• Proficiency in ML development (feature engineering, algorithm selection, statistics). • Experience in FinTech, E-Commerce or Retail domains. • Strong skills in applied mathematics, data analysis and statistics. • Understanding of modern machine learning techniques and algorithms. • Proficiency in Python and SQL. • Experience in building REST API applications. • Understanding of microservices architecture. • Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow. • English level: Upper-Intermediate or higher.

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