Senior Developer – AI/ML

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

Snowflake is rapidly growing our partner Go To Market Initiatives. Snowflake partners including System Integrators, Cloud Service Providers and Technology Partners are an integral part of Snowflake business to help customers unlock Power of Snowflake Data Cloud. We are looking for a self-driven, go-getter to help grow these Partners on Snowflake capabilities, solution development, and support business growth initiatives. The candidate should have excellent verbal and written communications skills in English.

Success in this position requires the candidate to be a technical ninja by aligning with key programs and educating/upskilling partners on these key product features. The candidate will present skills to both technical and executive audiences, whether it’s white boarding or using presentations and demos to build mind share among Snowflake Partners.

We are seeking a candidate with a proven track record of successfully working with large partners and creating technical champions among them. Candidate with knowledge on broader Platform ecosystem, products, competition to influence and be the partner’s trusted advisor.

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.


  • 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


  • 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

Job Types

Job Locations

Job Categories

Job Roles

Apply Now

Similar AI Jobs