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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