Associate Machine Learning Engineer

What you will be doing:

• Develop solutions for data analysis, predictive model development and ad-hoc analysis implementing accurate and reliable code.
• Conduct tests of the automated solutions.
• Build and update pipelines for automation of processes.
• Work together with data scientists on the development of machine learning pipelines for data ingestion, transformation, and model training.
• Identify opportunities for automation, supporting your ideas with cost/benefit analyses justifying the need both internally within the team and towards external partners.
• Produce technical documentation in compliance with internal best practices.

Requirements

We are looking for you to bring:

• A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics.
• 3+ years of working experience in Python – preferably both Python's own syntax but also some of its packages (such as pandas, numpy, sklearn)
• Write Python code/ Core Python expertise.
• Knowledge of OOP principles, data structures, algorithms & design patterns
• Flexible and adaptable to learn and understand new technologies.
• Fluency in English

Any of the following abilities will be considered an advantage:

• Knowledge and appreciation of Agile development methodologies and techniques
• Knowledge of good software development practices (Test-driven Development, Clean Code, Refactoring
• Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as, recall
• Experience with Data Science concepts such as overfitting, cross-validation, test-vs-train split
• Experience with CI/CD process development