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Job Location: United States (USA)
- 3+ years of work experience in writing code in Python and PySpark
- Experience in using various Python libraries like Pandas, NumPy
- Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black)
- Deep understanding of data structures, algorithms, and excellent problem-solving skills
- Experience in working under Big Data engineering ecosystem (i.e. Hadoop, spark, ETL pipeline)
- Experience in building data processing pipelines on one of the clouds (GCP, AWS or Azure)
- Strong in SQL skills, Databases and Data Warehouses
- Experience in building scalable data processing pipelines using Spark and Dask
- Experience in Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation
- Experience in data visualization techniques (e.g., Matplotlib, Seaborn, ggplot2)
- Identify, analyse, and interpret trends or patterns in complex data sets
- Interpret data, analyse results using statistical techniques and provide ongoing reports
- Machine Learning libraries like Scikit-learn, XGBoost
- Experience in building models for ML tasks (Regression, Classification, Time Series)
- Excellent understanding of machine learning techniques and algorithms, such as Regression, k-NN, Naive Bayes, SVM, Decision trees, Random Forests, etc
- Familiarity in Dockerizing the model and create model end points (Rest or gRPC)
- Strong working knowledge of source code control tools such as Git, Bitbucket
- Strong drive to learn and master new technologies and techniques
- Strong communication and collaboration skills
- Good attitude and self-motivated
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