Python LLM Developer

Location:
Irving, TX (day1 onsite, hybrid)

Duration:
Full Time

• 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 Num Py
• 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 Tensor Flow, 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