[ 1 ] Design, develop, and optimize machine learning models for real business use cases.
[ 2 ] Build and integrate AI solutions using GPT, Claude, Gemini, and Llama.
[ 3 ] Design and implement Retrieval-Augmented Generation (RAG) solutions.
[ 4 ] Develop AI assistants and intelligent automation solutions for document processing, application verification, customer support, and other business workflows.
[ 5 ] Design and maintain ETL pipelines and integrate third-party APIs.
[ 6 ] Work with PostgreSQL, MongoDB, and vector databases, including Pinecone and Weaviate.
[ 7 ] Evaluate and improve AI model performance through experimentation, A/B testing, and performance analysis.
[ 8 ] Collaborate with software engineers and product stakeholders to deliver scalable AI solutions.
