Application & Model Development:
 
 Design, develop, and deploy Python-based applications and AI/ML models.
 
 Data Handling:
 
 Collect, clean, and preprocess structured and unstructured data for model training.
 
 Model Training & Evaluation:
 
 Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
 
 API Integration:
 
 Create and integrate APIs for serving ML models into applications or web services.
 
 Research & Innovation:
 
 Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
 
 Automation & Scripting:
 
 Develop automation scripts and data pipelines to support AI workflows.
 
 Collaboration:
 
 Work with data engineers, developers, and product teams for end-to-end solution delivery.
 
 Version Control & Documentation:
 
 Maintain clean code, version control (Git), and project documentation.
 
 Testing & Deployment:
 
 Test models, deploy to production, and monitor performance using cloud or on-prem setups.
 
 Continuous Learning:
 
 Explore emerging AI/ML technologies and contribute to innovation projects.
 
  Requirements
  
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
 
 Develop Python-based AI/ML apps & models
 
 Preprocess & analyze data
 
 Train, test, and evaluate models
 
 Build & integrate APIs for ML services
 
 Use TensorFlow, PyTorch, Scikit-learn
 
 Create automation scripts & data pipelines
 
 Collaborate across teams for deployment
 
 Maintain code, versioning, and documentation
 
 Deploy & monitor ML solutions
 
 Keep learning new AI/ML tools & methods