This role involves applying statistical, machine learning, and data mining techniques to extract trends implement data modelling, data mining, and machine learning algorithms to uncover patterns, trends, and with the latest developments in data science, machine learning, and analytical techniques, and incorporate of 3 years of experience in data science, machine learning, or a related field. Strong programming skills Spark). Proficiency in statistical modelling, machine learning algorithms, and data mining techniques. Excellent
group performs basic and applied research in machine learning, with an emphasis on the theory and application Research (CAIR), and the coordinator of the machine learning research programme of The National Institute the group develops and applies specialised machine learning techniques with a network of collaborating experience in the theory and application of machine learning. A minimum of 2 years' experience in supervision sound publication record. Proven competency in machine learning, deep learning and underpinning disciplines
group performs basic and applied research in machine learning, with an emphasis on the theory and application Research (CAIR), and the coordinator of the machine learning research programme of The National Institute the group develops and applies specialised machine learning techniques with a network of collaborating experience in the theory and application of machine learning. A minimum of 2 years' experience in supervision sound publication record. Proven competency in machine learning, deep learning and underpinning disciplines
Data Scientist with a strong background in machine learning. The ideal candidate must be willing to travel Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms roles, including hands-on experience with machine learning, deep learning, and statistical analysis Proficiency Proficiency in data analysis and machine learning tools and libraries e.g. Python, R Strong programming
untapped opportunities using advanced analytics, machine learning and deep-learning through the development
governance, data products, cloud, API's and machine learning. Implement and maintain platforms. Design
data use cases. ● Create algorithms and build machine learning models to enhance product offerings and solve regression analysis. ● An understanding (must) of Machine Learning techniques (supervised and unsupervised learning)
deliver solutions. - Utilize statistical and machine learning techniques to drive data-driven decision making
within the Foundry processes and incorporate machine learning principles. Play an active role in the live
Experience with Control Theory Experience with Machine Learning Experience with Design and Evaluation of Efficient