About the role
Responsibilities:
- Develop and apply cutting-edge machine learning techniques such as ANN, XGBoost, and deep learning models to solve complex business problems.
- Ensure the use of state-of-the-art AI frameworks and methodologies to enhance model accuracy, efficiency, and scalability.
- Optimise AI models by fine-tuning hyperparameters, feature engineering, and advanced algorithm selection to maximise performance.
- Oversee the full AI project lifecycle, from data preparation and model development to deployment and monitoring.
- Ensure smooth integration of AI solutions into production environments, collaborating with engineering teams for scalable deployments.
- Use project management tools like JIRA to track tasks, deadlines, and progress, ensuring structured execution of AI initiatives.
- Maintain a structured framework for model versioning, documentation, and reproducibility to ensure long-term sustainability.