Position: Python LLM Developer

Location: Irving, TX ( day1 onsite, hybrid )

Duration: Full Time



JD

  • :Python LLM: Should have very strong in-depth knowledge in Python Programmin
  • gProgramming 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


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