Position: Junior Machine Learning Engineer
Company: MyLandingPage
Category: Data Science
Experience required: 1y
English level: upper
Published: 2021-01-01T00:00:00+02:00

**Key responsibilities**
- Work in a team with different specialists (Data Scientists, DevOps Engineers, Data Architects, etc) to develop solutions that will help in investments decision-making
- Write maintainable and clean code
- Perform exploratory data analysis, data preprocessing, models tuning and validation
- Generate ideas for models and processes optimization
- Participate in identifying and developing actionable insights through problem definition, application of statistical models, and analysis against existing and future data.
- Assist in the identification of important data sets for exploration and analysis
- Participate in applying data mining, data modeling, and machine learning to extract and analyze information from large structured and unstructured datasets.


**Desired skills and requirements**
- At least 1 year of experience in Machine Learning, predictive analytics, statistical analysis, or similar field.
- Understanding of fundamental computer science algorithms and data structures.
- Knowledge in traditional machine learning algorithms, such as linear and logistic regression, decision trees, K-Nearest Neighbors, Support Vector Machines, Naive Bayes, random forest, gradient boosting (XGBoost and lightGBM), other compositions of algorithms, clustering models, etc.
- Experience with NLP: topic modeling, entity extraction, sentiment analysis.
- Understanding of common machine learning methods and approaches, such as datasets balancing, feature engineering, data preprocessing and cleansing, dimensionality reduction, models testing and cross-validation, fine-tuning, etc.
- Knowledge of Python.
- Knowledge of SQL.
- Knack to solve problems using weakly supervised/unsupervised approaches.
- Understanding of the ML models deployment processes.
- Preferably, a degree in a quantitative discipline, such as computer science, statistics, data science, mathematics, engineering, physics, etc.
- Preferably, have knowledge or experience in working with Cloud computing and platforms (AWS, Google Cloud Services, Azure, etc.).
- Preferably, have knowledge or experience with Git/Github, Jupyter Notebook.