Senior Data Cloud Architect - AI/ML

5 - 9 years

0 Lacs

Posted:22 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

You will be part of a rapidly growing team focused on partner Go To Market Initiatives at Snowflake, working with System Integrators, Cloud Service Providers, and Technology Partners to help customers unlock the Power of Snowflake Data Cloud. In this role, you will be responsible for enabling partners on Snowflake capabilities, solution development, and supporting business growth initiatives. Your excellent verbal and written communication skills in English will be key in aligning with key programs, educating partners, and presenting to both technical and executive audiences. **Key Responsibilities:** - Run training sessions, workshops, and webinars to help Partners become proficient in Snowflake. - Assist Solution Providers/Practice Leads with technical strategies for selling offerings on Snowflake. - Keep Partners informed on key Snowflake product updates and future roadmaps. - Conduct technical enablement programs and solution design workshops for effective solutions. - Provide forward strategic thinking by sharing customer success stories and showcasing the impact of Snowflake. - Engage in conversations with other technologists and present at the C-level. **Qualifications Required:** - Proven track record of successfully working with large partners and creating technical champions. - Knowledge of the broader Platform ecosystem, products, and competition to be a trusted advisor. - Experience in ML Engineering and Development with skills in working with large-scale datasets, neural network architectures, and model optimization. - Proficiency in Python, TensorFlow, PyTorch, and other relevant ML libraries. - Background in machine learning, deep learning, and natural language processing. - Experience with Agile development practices, CI/CD, and cloud platforms like Azure and AWS. - Strong understanding of statistics, linear algebra, and probability theory. - Familiarity with Big Data or Cloud integration technologies.,

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