Description

• 10 -12 years of professional experience in full-stack development
• 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

Key Skills

Education

Bachelor's degree