Design and develop machine learning and deep learning models for real-world applications.
Build scalable ML pipelines and deploy models into production environments.
Analyze large and complex datasets to extract meaningful insights and features.
Collaborate with data scientists, software engineers, and product teams to understand requirements.
Conduct experiments, perform A/B testing, and validate model performance.
Continuously monitor and improve the performance of ML systems post-deployment.
Stay up to date with the latest AI/ML research, tools, and technologies.
Document methodologies, tools, and workflows.
