- 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
- Solid 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:
Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Data science->Machine Learning,Technology->Data on Cloud-DataStore->Snowflake