Machine Learning Model Development: Design, develop, and implement machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.Large Language Model Integration: Collaborate with architects to leverage Large Language Models (LLMs) like Watsonx AI, GPT-4, or Bedrock (if applicable) for project success.GenAI Project Experience: Bring at least 2 years of experience in GenAI projects, either for clients or IBM assets/products.GenAI Task Expertise: Demonstrate expertise in at least one GenAI task, such as:RAG content generationCode generationCode conversionAI Agent developmentData mappingGraph RAGSolution Design and Requirements: Work closely with business SMEs to define project requirements, select appropriate AI/ML/GenAI models with architects, and set realistic model benchmarks to meet business needs.AI Solution Design with Ethics: Collaborate with architects to design AI solutions that incorporate knowledge of AI ethics.