AI/ML Engineer - Snowflake Cloud

:

• Develop train evaluate and deploy Machine Learning models for business use cases
• Build predictive analytics classification regression recommendation and NLP solutions
• Work with structured and unstructured datasets for model development and optimization
• Perform feature engineering model tuning and performance optimization
• Develop data pipelines and ETL ELT workflows using Snowflake
• Build AI ML solutions leveraging Snowpark and Snowflake s data platform capabilities
• Design and implement scalable data models and data warehousing solutions in Snowflake
• Develop applications using LLMs and Generative AI technologies
• Build Retrieval Augmented Generation RAG pipelines integrating enterprise data sources
• Implement prompt engineering and LLM evaluation techniques
• Collaborate with Data Engineers Data Scientists and business stakeholders to deliver AI driven solutions

Key Responsibilities:

• Develop train evaluate and deploy Machine Learning models for business use cases
• Build predictive analytics classification regression recommendation and NLP solutions
• Work with structured and unstructured datasets for model development and optimization
• Perform feature engineering model tuning and performance optimization
• Develop data pipelines and ETL ELT workflows using Snowflake
• Build AI ML solutions leveraging Snowpark and Snowflake s data platform capabilities
• Design and implement scalable data models and data warehousing solutions in Snowflake
• Develop applications using LLMs and Generative AI technologies
• Build Retrieval Augmented Generation RAG pipelines integrating enterprise data sources
• Implement prompt engineering and LLM evaluation techniques
• Collaborate with Data Engineers Data Scientists and business stakeholders to deliver AI driven solutions

Technical Requirements:

• 2 3 years of hands on AI ML development experience
• Strong Python and SQL programming skills
• Experience developing and deploying ML models using Snowflake and cloud platforms
• Hands on experience with Snowflake Data Cloud Snowpark and data warehousing concepts
• Understanding of the ML lifecycle from data preparation to model deployment and monitoring
• Experience building and maintaining ETL ELT pipelines and data transformation workflows

Additional Responsibilities:

• Experience with Snowpark for Python and Snowflake native development
• Exposure to Generative AI LLMs Prompt Engineering and RAG architectures
• Knowledge of LangChain Vector Databases and Semantic Search
• Experience with MLOps practices model monitoring and CI CD pipelines
• Familiarity with Docker and containerized deployments
• Exposure to Snowflake Cortex AI capabilities
• Experience with AWS Azure or GCP cloud environments is a plus
• SnowPro Certification or relevant Snowflake certifications are preferred

Preferred Skills: