data mining techniques, and machine learning algorithms, you will extract insights and patterns from analysis and machine learning algorithms. 2. Develop predictive models, algorithms, and simulations to solve
production system certain advanced ML and applied ML algorithms; The following knowledge will be advantageous: Understanding of transforming/implementing software/algorithms for use in real-life systems; Must be able to:
cleansing, data transformation
Machine learning algorithms to uncover patterns, make predictions and built
client/server architectures • A good understanding of algorithms and data structures • Passionate about end-to-end
client/server architectures. A good understanding of algorithms & data structures. Passionate about end-to-end
for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different
solutions into MLOps pipelines Implements analytical algorithms for object detection, segmentation, classification and identifying business opportunities using algorithmic, statistical, and mining techniques Interprets
Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business problems Programming
and support new and existing modules Develop Algorithm complexities for the next generation software
a technical role with an emphasis on data and algorithm development and implementation, server-side programming