LLM Python for Machine Learning 75942

Job Responsibilities:

• Develop train and deploy machine learning models using TensorFlow and/or PyTorch.
• Implement machine learning models and preprocessing pipelines using Scikitlearn.
• Apply supervised and unsupervised learning algorithms including SVM Decision Trees Random Forest and kNN to solve complex problems.
• Design and implement deep learning architectures such as CNNs RNNs GANs and transfer learning models.
• Explore and apply reinforcement learning techniques to enhance AI solutions.

Job Requirements:

• Bachelor s/Master s degree in Engineering Computer Science or a related field.
• At least 2 years of experience as a Pythonfocused Engineer.
• 1 years of experience with Pythonbased frameworks for machine learning.
• Proficiency in TensorFlow and/or PyTorch for model development and deployment.
• Strong knowledge of Scikitlearn for machine learning model implementation.
• Indepth understanding of supervised and unsupervised learning algorithms as well as deep learning architectures.

Nice to Have:

• Experience with Keras for quick prototyping of deep learning models.
• Proficiency in Pandas and Numpy for data manipulation and preprocessing.
• Familiarity with Large Language Models (LLMs) and their applications in AI.
• Excellent spoken and written English communication skills.

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