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At Wiremind, the Data Science team is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts: A modelling of the unconstrained demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series; Constrained optimizations problems solved using linear programming techniques. The team is now entering a scaling phase where we will face the challenge to stay agile in terms of innovation while supporting and closely monitoring deployed algorithms. This rapid growth comes with a multiplication of data sources and deployed predictive models. As a Data Engineer Intern, you will be joining a team shaped to have all profiles necessary to constitute an autonomous departement (devops, software and data engineering, data science, AIML, operational research).
Job Responsibility:
Support the ML engineers by improving our MLOps platform
Work closely with software engineers to implement the data science algorithms in the client applications in a safe, scalable and maintainable way
Exchange with the platform team to keep the infrastructure debt at a minimum
Help the team deploy our algorithms in production in a safe, scalable and maintainable way
Requirements:
Currently pursuing a Master’s Degree in Engineering
Passionate about addressing business challenges through innovative technological solutions
Committed to maintaining high-quality standards in all aspects of work
Solid understanding of computer science
Eager to advance quickly in an environment that adheres to best development practices