Python LLM Developer

Python LLM: Should have very strong in-depth knowledge in Python Programming

Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI.

AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy.

API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services.

Data Management: Skills in collecting, preprocessing, and handling datasets.

AI Concepts: Familiarity with concepts like machine learning, supervised and unsupervised learning, and foundational algorithms.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.

Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.

Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.

Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.