Description

Develop, train, and deploy machine learning models to build AI-powered coding assistance agents.

Responsibilities

• Develop and deploy ML models using TensorFlow or PyTorch.
• Implement preprocessing pipelines and models using Scikit-learn.
• Apply supervised and unsupervised algorithms including SVM, Decision Trees, Random Forest, and k-NN.
• Design deep learning architectures such as CNNs, RNNs, GANs, and transfer learning models.
• Explore reinforcement learning techniques to enhance AI solutions.

Required Skills

• 5+ years of Python-focused engineering experience.
• Proficiency in TensorFlow and/or PyTorch for model development and deployment.
• Strong knowledge of Scikit-learn for ML implementation.
• In-depth understanding of supervised and unsupervised learning algorithms.
• Experience with deep learning architectures.
• Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
• Proficiency with LLMs.

Preferred Skills

• Experience with Keras for deep learning prototyping.
• Proficiency in Pandas and Numpy for data manipulation.
• Excellent spoken and written English communication skills.

Key Skills

Education

Bachelor's/Master's degree