Sr. Python FSD Developer

Python Developer - data engineering - GCP - Working Exp with LLMs etc building custom Python applications for large-scale data building pipelines for data processing and deplo…

• 16 days ago

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.