Machine Learning Engineer

Collaborate with stakeholders in cross-functional environment to understand business objectives and define problems that can be addressed through machine learning and artificial intelligence.

· Develop and train machine learning and statistical models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch.

· Write and optimize data pipelines to process large amounts of data.

· Apply MLOps practices to manage lifecycle of Machine Learning models throughout projects.

· Write maintainable, reliable, and robust pipelines complete with unit and integration tests.

· Co-lead data initiatives and architect ML systems from scratch.

· Organize work for yourself and other affected consultants in Agile environment.

· Develop dashboards to monitor key data quality and model metrics and set and define alerts.

· Build Machine Learning business cases with business stakeholders.

Requirements

· Degree in mathematics, engineering, physics, or related discipline.

· 4+ years experience in Data Science or relevant work experience in creating and using advanced ML, time series or deep learning algorithms for regression, classification, forecasting or clust...