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Описание вакансии
Текст:
TL;DR
AI Specialist (Python/ML): Designing and architecting cloud-based machine learning and generative AI solutions on the Snowflake AI Data Cloud with an accent on RAG, prompt engineering, model deployment, and enterprise data technologies. Focus on scoping customer POCs, presenting technical and executive readouts, influencing AI and ML product roadmaps, and building scalable demos and technical assets.
Location: United States — Chicago, IL; Remote in Washington, DC; Atlanta, GA
Salary: $165,000–$216,562 annually
Company
Snowflake provides the AI Data Cloud and AI and ML solutions for enterprise customers.
What you will do
- Design and architect AI solutions built on the Snowflake AI Data Cloud for technical decision makers and data scientists.
- Position Snowflake’s AI and ML capabilities for technical stakeholders across the Americas.
- Partner with account teams and customer champions to scope and drive proofs of concept to successful technical outcomes.
- Collaborate with product and engineering teams to influence AI and ML roadmaps through customer feedback.
- Create scalable technical content, including blog posts, conference presentations, notebooks, demos, and customer stories.
- Maintain and tailor AI and ML sales-engineering assets, presentations, and demonstrations.
Requirements
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Knowledge of generative AI techniques including RAG, few-shot learning, prompt engineering, and fine-tuning.
- Deep knowledge of Python and common ML packages such as LangChain, pandas, scikit-learn, and PyTorch.
- Experience with data-engineering technologies such as dbt, Airflow, and Spark, plus large-scale database technologies.
- Strong presentation skills for technical and executive audiences, including whiteboarding sessions, formal readouts, and demos.
- Bachelor’s degree required; 1+ years of practical Snowflake experience and experience with AWS, Azure, or GCP.
Nice to have
- Master’s degree in computer science, engineering, mathematics, or a related field.
- Working knowledge of LlamaIndex or other open-source packages in the LLM ecosystem.
Culture & Benefits
- Work in a fast-growing organization focused on AI-native ways of working.
- Collaborate across product, engineering, account, and field organizations.
- Contribute to an experimental environment that encourages testing emerging capabilities.
- Salary and benefits information for US roles is available on the Snowflake Careers Site.
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