Machine Learning Engineer in Bucuresti

Responsibilities Responsibilities: Develop machine learning end-to-end applications or modules into production environments according to the requirements; Integrate designed machine learning models in current developed applications; Define the architecture of machine learning systems; Select appropriate data sets and data representation methods; Perform statistical analysis and fine-tuning using test results; Train and retrain ML systems when necessary; Apply software engineering best practices; Run machine learning tests and experiments. Qualifications and Experience Skills and experience: Deep knowledge of both supervised and unsupervised machine learning techniques; Good knowledge of algebra, probability, statistics and algorithms; Good knowledge of Python or R; Comfortable with data story telling through visualizations tools and techniques; Familiarity with machine learning frameworks (Keras or PyTorch) and libraries (scikit-learn); Good understanding of data structures, data modeling and software architecture; Good knowledge of distributed computing systems; Good knowledge of OOP (Java or .NET – for ML models integration); Good database knowledge both relational and non-relational; Practical NLP, image recognition, information extraction experience; Knowledge of recommendation systems; Knowledge of reinforcement learning will be a plus; The ability to extend existing machine learning libraries and frameworks will be a plus; Good communication skills. **