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This role requires travel up to 15% within India to support partner engagements such as enablement, deal support and partner events, and for company events outside India, as required.
YOU WILL:
Run training sessions, workshops, webinars to help Partners become proficient in Snowflake.
Help Solution Providers/Practice Leads with technical strategies that enable them to sell their offerings on Snowflake.
Keep Partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about latest technology solutions and benefits.
Run technical enablement programs to provide best practices and solution design workshops to help Partners create effective solutions.
Have a Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging, sharing customer success stories and case studies to showcase the impact of Snowflake.
Have a strong understanding of how Partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
Have conversations with other technologists, providing presentations at the C-level.
ML Engineering and Development skills -
Work with large-scale datasets, preprocess them, and create appropriate data representations
Select relevant features and ensure data quality for training and evaluation
Implement and fine-tune neural network architectures, including transformer-based models
Optimize model performance, scalability, and efficiency
Conduct experiments to evaluate model performance, robustness, and generalization
Explore novel techniques and approaches to enhance model capabilities.
Stay up-to-date with the latest advancements in machine learning, deep learning, and AI research
OUR IDEAL CANDIDATE WILL:
Provide technical, product and deep architectural expertise on the latest product capabilities with our Partner Solution Architect community.
Stay current with the latest Snowflake product updates and best practices
Have a total of 10+ years of relevant experience
Have in-depth knowledge and hands-on experience in Data Science, Generative AI and Engineering
Background in machine learning, deep learning, and natural language processing.
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality products
Experience with distributed systems design and implementation
Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops
Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion)
Good understanding of statistics, linear algebra, and probability theory
Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing
Excellent problem-solving skills and the ability to work independently and collaboratively
Experience using Big Data or Cloud integration technologies such as Azure Data Factory, AWS Glue, AWS Lambda, etc
Experience with databases
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