Engineer

Model Development: Assist in the design and development of machine learning and deep learning systems.

Data Handling: Execute data preprocessing, feature engineering, and data cleaning tasks to prepare datasets for training.

Implementation: Implement and test machine learning algorithms using Python.

Collaboration: Work with business analysts and senior developers to translate business requirements into technical solutions.

Quality Assurance: Participate in unit testing, debugging, and code reviews to ensure code quality and performance.

Continuous Learning: Stay current with emerging AI/ML technologies and contribute to process improvements.