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 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