Python Developer AI/ML

1. AI/ML Model Development:
- Develop, train, and optimize machine learning models using TensorFlow and NumPy.
- Implement computer vision applications using Pillow and pdf2image for image
processing.
2. Data Preprocessing and Analysis:
- Clean and preprocess data using Pandas to prepare it for model training.
- Perform exploratory data analysis (EDA) to gain insights and inform modeling decisions.
3. Flask Application Development:
- Create RESTful APIs and web applications using Flask to deploy AI/ML models.
- Develop interactive dashboards for data visualization and model results.
4. Deployment and Scaling:
- Deploy AI/ML models and Flask applications using Gunicorn for efficient production
deployment.
- Implement containerization using technologies like Docker for easy scaling and
deployment.
5. Model Evaluation and Maintenance:
- Evaluate model performance and implement necessary improvements.
- Continuously monitor and maintain deployed models, ensuring they stay up-to-date and
accurate.
6. Collaboration:
- Collaborate with cross-functional teams, including data scientists, software engineers,
and business stakeholders.
l. Communicate technical concepts and findings to non-technical stakeholders.
7. Documentation:
- Create clear and concise documentation for code, models, and processes to facilitate
knowledge sharing.