AI Software Development

Core Responsibilities

• AI Model Development
  • Design, train, test, and optimize machine learning (ML) or deep learning (DL) models (e.g., for NLP, computer vision, recommendation systems, etc.).
  • Select appropriate algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
  • Fine-tune pre-trained models (e.g., OpenAI, Hugging Face, TensorFlow Hub models).
• Data Preparation & Engineering
  • Collect, clean, and preprocess large datasets (structured or unstructured).
  • Build data pipelines for continuous training and model updates.
  • Use tools like Pandas, PySpark, or SQL for data manipulation.
• System Integration
  • Integrate AI models into software systems, APIs, or web/mobile applications.
  • Collaborate with backend engineers to deploy models (e.g., using FastAPI, Flask, or REST endpoints).
  • Ensure scalable and efficient inference performance in production.
• R...