[Remote] Senior Consultant - AI Engineering
Note: The job is a remote job and is open to candidates in USA. IBM is a leading technology company that focuses on building innovative solutions to solve complex problems. They are seeking a Senior Consultant specializing in AI Engineering to implement and enhance Data and AI solutions on Snowflake platforms, ensuring optimal performance and integration for clients' needs.
Responsibilities
- Design and Implement Solutions: Implement Data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance
- Enhance Platform Capabilities: Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications
- Leverage Key Skills: Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions
Skills
- Snowflake Platform Expertise: Experience with designing and implementing data and AI usecases on Snowflake platforms, ensuring seamless integration and optimal performance
- Data Engineering Knowledge: Experience with data engineering principles and practices, including data modeling, data warehousing, and data governance
- Cloud Technology Proficiency: Experience with cloud technologies, including migration, deployment, and management of cloud-based data platforms
- Solution Implementation Skills: Experience with implementing data and AI solutions on Snowflake platforms, leveraging expertise in Snowflake, Data Engineering, and Cloud technologies
- Platform Enhancement Capabilities: Experience with building and enhancing Snowflake platform capabilities to meet client needs and advance Data and AI applications
- Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI usecases on Snowflake platforms
- Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices
- Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability
Company Overview
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