AI/ML Engineer

AI Solution Development:
Design and build scalable AI solutions such as chatbots, recommendation engines, and predictive models.
Model Deployment:
Implement and deploy machine learning models into production environments, ensuring scalability and efficiency.
Data Analysis and Processing:
Conduct in-depth data analysis and preprocessing, including handling large datasets and ensuring data quality.
Statistical Modelling:
Develop and apply statistical models to identify patterns, trends, and insights from complex data.
Collaboration:
Work closely with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
Performance Optimization:
Monitor and refine model performance through iterative processes, including hyperparameter tuning and validation.
Documentation and Reporting:
Maintain comprehensive documentation of processes, models, and solutions. Present findings and solutions to stakeholders.