Minimum of 10 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.