Snowflake Cortex Engineer / Data Scientist – AI/ML

Job Title: Snowflake Cortex Engineer / Data Scientist – AI/ML

Location: Bangalore/ Pune/Hyderabad

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