Snowflake에서 Solutions Consultant로 머신러닝 및 AI 솔루션을 설계하고 배포할 전문가를 찾습니다. SQL, Python, MLOps 역량을 바탕으로 고객의 비즈니스 문제를 해결하며, 클라우드 환경에서 확장 가능한 AI 모델을 구축하는 것이 핵심입니다. 데이터 플랫폼 혁신에 열정이 있는 분들의 많은 지원 바랍니다.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are looking for a Solutions Consultant to be part of our Professional Services team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution and communicate that connection and vision to various technical and executive audiences.
The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers.
As a Data Scientist / MLOps Consultant within Snowflake Professional Services, you will design and deliver machine learning and AI solutions for customers across a range of industries. This role focuses on helping customers implement scalable, production-ready solutions, including custom machine learning models, platform migrations, dashboards, GenAI applications, agents, and MLOps pipelines. You will work directly with customer stakeholders and internal teams to drive impactful solutions.
Proficiency in SQL.
Proficiency in Python and common data science libraries such as scikit-learn, pandas, NumPy, and SciPy.
Experience deploying machine learning models into production environments.
Deep understanding of core machine learning and statistical concepts.
Hands-on experience developing machine learning models. (Any of time series forecasting, regression, classification, clustering or neural networks).
Strong communication skills, with the ability to work effectively with customer stakeholders and cross-functional peers.
Demonstrated leadership and ownership in technical delivery.
Experience working with at least one major cloud platform, including AWS, Azure, or GCP.
Experience using generative AI tools to improve productivity in software development, solution design, or delivery workflows.
Experience working with the Snowflake platform.
Experience architecting solutions across multiple cloud services.
Experience leading teams through complex technical projects.
Previous consulting experience in customer-facing delivery environments.
Strong understanding of the end-to-end MLOps lifecycle, including deployment, monitoring, retraining, consumption, and automation.
Expertise and Specialization: We are designed to bring together experts and specialists in a particular domain. This creates an environment where employees can collaborate with like-minded professionals, share knowledge, and learn from each other
Innovation and Best Practices: We focus on driving innovation and implementing best practices within our domain which is making sure customers have a healthy Snowflake adoption. Working with us will expose you to cutting-edge technologies, methodologies, and industry trends.
Professional Development: Access to mentorship, training programs, and continuous learning initiatives can enhance your skills and advance your career.
Impactful Work: Our CoE is established to address critical business challenges or opportunities. Working on our projects will allow you to contribute to solutions that have a significant impact on the organization's success.
Cross-Functional Collaboration: collaboration with various departments, teams, partners and customers around the world.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
