Position: Machine Learning Engineer, Deep Learning engineer, Data Scientist
Category: Data Science
English level: upper
Years of experience: 5

Architecturing a conversational AI system. Project scope research, definition and estimation. The AI side of project planning. Data collection pipeline setup and development. Building, testing, deploying DL models as a service. Hypothesis testing, reporting for C-level stuff.
* Computer Vision, Natural Language Processing and Reinforcement Learning
* Building, deploying, maintaining ML and DL models in production environment
* Hypothesis testing, reports creation, experimentation logging, ETL processes
* Image processing, Biometrics processing, Named Entity Recognition, Topic modelling
* Language modelling, Text classification, Conversational AI, * Research and Development
* ML for Financial Applications (Portfolio optimisation, Trend analysis, Sales forecasting)
* Anomaly Detection, Time series analysis, Models debugging and explainability
Looking for breathtaking projects and challenges from the whole world in the Data Science or Deep Learning industry. Startups, product companies are welcome. Fintech and crypto projects also likely to be discovered