AI and Machine Learning Engineer

Machine Learning And Artificial Intelligence Developer

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance. You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine. We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

As an AI team member you are expected to fulfill the following range of responsibilities, depending on the project:

• Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, and PyTorch.
• Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
• Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
• Investigate the behavior of input and output data numerically.
• Investigate and optimize model performance.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Work within a multidisciplinary team to understand clients' business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.

High fluency in English is a must since you will communicate and work with team members and clients in English. Deep understanding of Client algorithms like regression, classification, and clustering. Deep understanding of model determination and evaluation. Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data. Interest in learning and coding within an advanced distributed micro-system architecture.

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

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