Data Scientist – AI/ML (Snowflake Cortex)

Key Responsibilities

• Design, develop, and optimize AI/ML solutions using Snowflake Cortex and Cortex Code.
• Lead the implementation of chatbot solutions leveraging Snowflake's native AI capabilities, reducing dependency on pre-verified and hard-coded queries.
• Improve SDLC efficiency through AI-driven development, automation, and intelligent workflows.
• Develop GenAI-based code generation and optimization frameworks within the Snowflake ecosystem.
• Automate testing processes and implement AI-powered mechanisms to improve data quality and validation.
• Design and implement fuzzy logic-based validation frameworks to identify and enforce business rules that are not explicitly defined.
• Build AI-driven solutions to convert logical data models into physical implementations, accelerating data engineering and architecture processes.
• Collaborate with data engineers, architects, and business stakeholders to define and implement scalable AI solutions.
• Monitor, evaluate, and continuously improve the performance, accuracy, and reliability of AI/ML models and applications. Required Skills & Qualifications
• Strong experience with Snowflake, including Snowflake Cortex and Cortex Code.
• Expertise in AI/ML, Generative AI, and Large Language Model (LLM)-based applications.
• Experience building conversational AI/chatbot solutions.
• Proficiency in Python, SQL, and data engineering concepts.
• Knowledge of automated testing frameworks and data quality management.
• Experience with fuzzy matching, fuzzy logic, and intelligent validation techniques.
• Strong understanding of data modeling, metadata management, and data architecture.
• Ability to translate business requirements into scalable AI-driven solutions. Preferred Qualifications
• Experience implementing enterprise-scale GenAI solutions.
• Familiarity with MLOps, CI/CD pipelines, and SDLC automation.
• Experience in data governance, data quality, and model-driven development approaches.
• Knowledge of cloud platforms such as AWS, Azure, or GCP. Experience:
• 6–10 years of experience in software development with team handling exposure