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Description:
The candidate will be responsible for developing Machine Learning (ML) and Artificial Intelligence (AI) projects.
The analytics toolsets used may include DS tools, Spark, Databricks, Python, and other technologies offered by Microsoft Azure or open-source toolsets.
Requirements:
Must have hands-on experience and strong knowledge of building machine learning models, including supervised and unsupervised models.
Must have hands-on experience in statistical programming languages like Python and database query languages like SQL.
Must possess good applied statistical skills, including knowledge of statistical tests, distributions, regression, and maximum likelihood estimators.
Experience in Databricks and ADF in Azure is desirable.
Benefits:
Opportunity to work on cutting-edge Machine Learning and Artificial Intelligence projects.
Exposure to a variety of analytics toolsets and technologies.
Possibility to work with Microsoft Azure and open-source toolsets.
Potential for professional growth and development in the field of Data Science.