<h3 class="uui-heading-subheading">AI Model Development</h3><div class="jtbd-card"><div class="jtbd-card-single">Designing and implementing deep learning architectures.</div><div class="jtbd-card-single">Selecting appropriate frameworks for the AI solution.</div><div class="jtbd-card-single">Tuning hyperparameters for optimal model performance.</div><div class="jtbd-card-single">Developing training pipelines for large datasets.</div></div><h3 class="uui-heading-subheading">Data Management and Processing</h3><div class="jtbd-card"><div class="jtbd-card-single">Cleaning and preprocessing raw datasets for training.</div><div class="jtbd-card-single">Creating data augmentation techniques for robustness.</div><div class="jtbd-card-single">Implementing data pipelines using Apache Airflow.</div><div class="jtbd-card-single">Monitoring data quality and consistency throughout lifecycle.</div></div><h3 class="uui-heading-subheading">Model Evaluation and Testing</h3><div class="jtbd-card"><div class="jtbd-card-single">Developing metrics to evaluate model accuracy and performance.</div><div class="jtbd-card-single">Conducting A/B testing to compare model variants.</div><div class="jtbd-card-single">Creating visualizations for model performance insights.</div><div class="jtbd-card-single">Performing cross-validation to avoid overfitting.</div></div><h3 class="uui-heading-subheading">Deployment and Maintenance</h3><div class="jtbd-card"><div class="jtbd-card-single">Deploying models on cloud platforms like AWS or GCP.</div><div class="jtbd-card-single">Implementing continuous integration/continuous deployment (CI/CD) practices.</div><div class="jtbd-card-single">Monitoring model inference for performance degradation.</div><div class="jtbd-card-single">Updating models based on incoming new data regularly.</div></div>