Description

Requirements:

• Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language processing (NLP).
• Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch.
• Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps practices is also necessary to streamline model deployment and management processes.
• This role involves leveraging these skills to develop, deploy, and optimize machine learning models for various applications.

Skills:

• Supervised or unsupervised learning algorithms
• Neural networks, NLP
• Python / R / SQL
• Tensor Flow / Keras / PyTorch
• Cloud platforms and technologies (MS Azure)
• DevOps / MLOps

Key Skills

Education

Any Graduate