Design, develop, and deploy machine learning models using Python.
Work with structured and unstructured data for feature engineering, preprocessing, and data wrangling.
Implement and optimize ML algorithms (e.g., classification, regression, clustering, NLP, time series).
Build end-to-end ML pipelines for training, validation, and deployment.
Collaborate with data engineers to integrate models into production environments using REST APIs, batch jobs, or streaming.
Perform model evaluation, A/B testing, and performance tuning.
Use visualization tools to communicate results to stakeholders.
Maintain documentation and ensure code reusability and scalability.
Stay current with the latest research and developments in ML and AI
