Exposure in programming skills in Python and SQL + Good problem-solving, analytical, and communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders + Knowledge with cloud AI/ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) and Agentic frameworks (Langgraph, Lang chain, Crew.ai etc.) + Hands-on experience with at least one AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) + Understanding of core machine learning concepts, algorithms, and models (e.g., supervised vs. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, images, logs) from diverse sources using Python, SQL + Collaborate with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions.