Data Scientist

Minimum of 5+ years of professional experience in Python programming and data-related fields. Minimum of 2 years of hands-on experience in designing and implementing RAG (Retrieval-Augmented Generation) systems. Demonstrable experience with Agentic AI frameworks (e.g., Semantic Kernel, LangChain, LangGraph, etc.). Experience with Semantic Kernel is highly desirable. Very solid, hands-on experience with core AWS services relevant to AI/ML and software development (e.g., S3, EC2, Lambda, SageMaker, DynamoDB, etc.). Expertise in modern software development practices, including Git/GitHub, Agile methodologies (Scrum/Kanban), and CI/CD pipelines. Exposure to .net stack Strong experience with Data Deep understanding of large language models (LLMs) and their application in real-world scenarios. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and collaboration skills. Experience with MLOps and productionizing machine learning models Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.