• Design, develop, and deploy AI/ML models to enhance our platform’s capabilities • Work with Agents, Prompt Engineering, Swarms, Transformers, Retrieval-Augmented Generation (RAG) systems, and other advanced AI concepts • Leverage AWS SageMaker, Databricks (Lakehouse), and ETL pipelines to build, train, and deploy robust end-to-end machine learning pipelines • Implement NLP models for processing both structured and unstructured data • Optimize and fine-tune machine learning models to achieve high accuracy, low latency, and efficient resource utilization • Stay current with leading AI frameworks and communities • Deploy AI models within cloud-based environments • Ensure seamless integration of AI solutions with our existing applications • Ensure AI applications adhere to HIPAA and SOC 2 compliance requirements • Collaborate with cross-functional teams to continuously improve AI development and deployment processes