Machine Learning Engineer - LLM

Job Responsibilities:

• Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.
• Implement machine learning models and preprocessing pipelines using Scikit-learn.
• Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, 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 Python-focused Engineer.
• 1+ years of experience with Python-based frameworks for machine learning.
• Proficiency in TensorFlow and/or PyTorch for model development and deployment.
• Strong knowledge of Scikit-learn for machine learning model implementation.
• In-depth 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.