- Develop a detailed plan for refactoring / optimizing the code in Python while ensuring its functionality and performance are maintained
- Write well-structured, efficient, and maintainable Python code, following best practices and company coding standards
- Thoroughly test the new Python code, identify and resolve any bugs or issues, and ensure the results are consistent with the original implementation
- Create clear documentation for the migrated Python code including comments, user guides, and technical specifications
- Standardize and streamline the data pipelines used for our forecast models in PAT while defining and recommending the team best practices.
- Communicate progress and challenges effectively with the project team and stakeholders
Required Skills :
- A bachelor’s or master’s degree in computer science, Data Science, or a related field
- At least 8 years of experience in a related role
- Knowledge of algorithms, data structures, and best practices in software development
- Strong programming skills in Python and experience with production grade python code
- Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas
- Familiarity with Python’s unit testing framework (currently using pytest)
- Experience collaborating and using Github
- Excellent communication and teamwork skills, with a strong attention to detail
- Prior experience working with Databricks
Preferred Skills :
- Prior experience with operationalization of ML models
- Prior experience with ML models and collaborating with DS teams.
- Familiarity with R programming language. This role might require to migrate some R code to Python / PySpark.
- Experience with production grade pipelines and ideally with Databricks Delta Live tables or any other declarative pipelines
- Knowledge of pricing algorithms and demand forecasting models
Machine Learning Engineer • Catalonia, Spain