DE&A - AIML - Conversational Systems

We are seeking an experienced AI/ML Developer to design and develop advanced chatbots using the RAAG model and Snowflake Cortex. The ideal candidate will have expertise in AI-driven conversational agents, large language models (LLMs), and cloud-based AI solutions.

Key Responsibilities:

                •              Design, develop, and deploy AI-powered chatbots using RAAG (Retrieval-Augmented Answer Generation) models and Snowflake Cortex.

                •              Fine-tune and optimize LLMs for domain-specific applications.

                •              Integrate chatbot solutions with enterprise systems and databases.

                •              Leverage Snowflake Cortex for AI model deployment and data processing.

                •              Develop efficient data pipelines for real-time and batch AI processing.

                •              Implement prompt engineering, embeddings, and retrieval mechanisms for enhanced chatbot performance.

                •              Ensure security, scalability, and compliance in AI solutions.

                •              Collaborate with cross-functional teams, including data engineers and business analysts, to understand requirements and deliver solutions.

                •              Stay updated with the latest advancements in AI/ML, LLMs, and cloud-based AI solutions.

 Required Skills & Qualifications:

                •              Strong experience in AI/ML development, particularly in chatbot or NLP solutions.

                •              Proficiency in RAAG models and retrieval-based LLM architectures.

                •              Hands-on experience with Snowflake Cortex for AI model deployment and data processing.

                •              Expertise in Python, TensorFlow, PyTorch, or other ML frameworks.

                •              Familiarity with prompt engineering, embeddings, vector databases, and retrieval techniques.

                •              Strong knowledge of APIs, cloud computing (AWS, Azure, or GCP), and data engineering principles.

                •              Experience integrating AI/ML models with enterprise applications.

                •              Strong problem-solving skills and the ability to work in a fast-paced environment.