Apply knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service
Build automated ML pipeline – set up workspace, run experiments and train models, optimize models by tuning hyperparameters, deploy and consume models
Build a ML project or a quick prototype using Azure ML service
Requirements:
3+ years of experience in developing and quick prototyping of ML projects using Azure ML service
Experience in execution of Data Science and Machine Learning projects (regression and classification, linear and non-linear models, supervised and un-supervised learning, collaborative filtering, deep learning, etc.) with large volume of structured and unstructured data in Azure
Hands on experience with Python libraries for machine learning and data science like TensorFlow, Keras, Scikit-learn, etc.
Exposure to CI/CD using GitHub, Jenkins, etc., DevOps, etc. Experience with Azure Boards, Azure Pipelines, Azure Repos, Azure Artificats, Azure Test Plans
