Description

Build and integrate large language model applications using Python and FastAPI.

This role is hybrid.

Responsibilities

• Develop and maintain Python services for LLM integration using FastAPI.
• Fine-tune and train deep learning models on custom datasets, managing overfitting and regularization.
• Preprocess, clean, and manage data pipelines for AI model consumption.
• Optimize model inference latency and performance for real-time application requirements.
• Collaborate via Git to integrate AI functionalities into web and mobile services.

Required Skills

• 10+ years of professional Python programming experience.
• Strong expertise in FastAPI for building AI-driven APIs.
• Hands-on experience with deep learning frameworks: PyTorch, TensorFlow, or Keras.
• Proficiency with core data libraries: Pandas, NumPy, and scikit-learn.
• Ability to integrate pre-trained models via cloud APIs.
• Understanding of supervised and unsupervised learning algorithms.
• Version control proficiency with Git.

Preferred Skills

• Experience optimizing ML models for production-scale latency.
• Familiarity with mobile app integration for AI services.

Key Skills

Education

Not specified