1. What are the responsibilities of Senior Machine Learning Engineer?
The Senior Machine Learning Engineer performs research and testing to develop machine learning algorithms and predictive models. Designs and develops scalable solutions using AI tools and machine-learning models. Being a Senior Machine Learning Engineer conducts model training and evaluation. Utilizes big data computation and storage tools to create prototypes and datasets. In addition, Senior Machine Learning Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. Being a Senior Machine Learning Engineer work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Working as a Senior Machine Learning Engineer typically requires 4 -7 years of related experience.
2. What are the skills of Senior Machine Learning Engineer
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
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Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
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Futures: Futures are derivative financial contracts obligating the buyer to purchase an asset or the seller to sell an asset at a predetermined future date and set price.
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Artificial Intelligence: Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.