Apply machine learning, deep learning, natural language processing, computer vision, and other AI techniques to various domains and use cases.
Evaluate and optimize the performance, accuracy, and scalability of AI models and systems.
Research and implement state-of-the-art AI methods and best practices.
Collaborate with cross-functional teams of engineers, product managers, designers, and stakeholders.
Design and execute data science workflows, from concept to execution, to deliver novel insights to clients in response to their requirements.
Prototype, test, and productionise machine learning models.
Model data for storage and querying in database and large-scale analytics platforms.
Work with a wide variety of data types, from structured to unstructured, multimedia (video and still images), time-series and IoT data.
Clearly visualise and communicate processes and results to clients, colleagues and other stakeholders.
Skills Required
Machine Learning
Python
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