The posting
Snowflake Developer with AI/ML Integrations
## Job Summary We are seeking an experienced Snowflake Developer with AI/ML Integrations to design, implement, and maintain data warehousing solutions while integrating advanced artificial intelligence and machine learning capabilities. This role will play a critical part in enhancing our data architecture and enabling intelligent data-driven decision-making processes.
## Responsibilities - Develop and optimize Snowflake data pipelines to support robust data warehousing and analytics. - Integrate AI/ML models into the Snowflake environment to facilitate advanced analytics and predictive insights. - Collaborate with data scientists and engineering teams to ensure seamless integration of machine learning solutions with existing data platforms. - Implement and monitor data quality and performance metrics to ensure system reliability and efficiency. - Troubleshoot and resolve technical issues related to data integration, performance, and security. - Document solutions and maintain best practices for data architecture and development.
## Qualifications - Strong experience in Snowflake development and architecture. - Proficiency with SQL, ETL processes, and data warehousing concepts. - Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their integration within data environments. - Hands-on experience with programming languages such as Python or R for data manipulation and model integration. - Solid understanding of cloud platforms and data storage solutions. - Ability to work collaboratively in a fast-paced, cross-functional team environment. - Excellent problem-solving and troubleshooting skills. - Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent professional experience).
## Preferred Skills - Experience with cloud services such as AWS, Azure, or Google Cloud Platform. - Knowledge of modern data visualization and business intelligence tools. - Familiarity with CI/CD practices related to data solutions and version control systems. - Exposure to advanced analytics and data science techniques beyond traditional machine learning.
## Experience - Proven track record in developing and managing Snowflake environments. - Relevant experience integrating AI/ML components within large-scale data solutions. - Demonstrated ability to work on complex data projects in agile or iterative development environments.
## Environment - This role offers a flexible working environment with opportunities for remote, in-office, or hybrid arrangements. - You will be working as part of a dynamic, cross-functional team in a fast-paced technology-driven setting.



