Work closely with the AI team to help build complex algorithms that provide unique insights into our data using images, text, documents, and other structured and unstructured data sources
Design, develop, and deploy machine learning, deep learning, and Generative AI solutions in support of business and operational objectives
Contribute to the development of LLM-based and multimodal AI applications, including use cases such as intelligent document processing, semantic search, summarization, question answering, and retrieval-augmented generation (RAG)
Develop and support scalable data pipelines and data engineering workflows to enable efficient data ingestion, transformation, feature generation, and model deployment.
Work with modern Generative AI platforms and model ecosystems, including Azure Open AI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, Hugging Face, or similar technologies, to prototype and operationalize AI solutions. Apply ML Ops and LLM Ops best practices to support model development, evaluation, deployment, monitoring, and continuous improvement