Core AI Engineer Intern

Design and Develop AI Models and Algorithms:
Create and implement artificial intelligence systems by designing and developing algorithms.
Work on tasks such as speech recognition, image processing, and decision-making processes within business applications.
Integrate AI Solutions:
Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. This involves writing code, deploying models to production, and continuously monitoring and updating them as needed.
Designing and consuming RESTful APIs to integrate AI models with applications.
Implemeting API Integration with API tools and frameworks like Flask, FastAPI, or Django for Python.
Manage Data Flow and Infrastructure with GenAI:
Handle the data flow and infrastructure necessary for effective AI deployment. This includes managing data pipelines, storage, and processing resources.
Collect and preprocess data to ensure it is suitable for training generative AI models. This may involve handling large datasets, augmenting data, and ensuring high data quality.
Fine-tune hyperparameters and deploy generative models into production environments.
Stay current with the latest advancements in generative AI, machine learning, and related fields.
Collaborate Across Teams:
Collaborate with other teams to align AI initiatives with organizational goals. Effective communication and teamwork are essential for successful AI implementation.