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Urgent! Solutions Architect AI/ML Job Opening In USA, USA – Now Hiring Snowflake

Solutions Architect AI/ML



Job description

Snowflake is about empowering enterprises to achieve their full potential — and people too.

With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

データサイエンスとクラウドアーキテクチャに精通し、お客様向けのエキサイティングな新サービスや新機能を開発していただける方を募集しています!プロフェッショナル・サービス・グループに属するAI/MLワークロードサービスチームは、Snowflakeを利用するお客様と協力して、データ・クラウドの利用を拡大し、Snowflakeの機能と広範なパートナー・エコシステムを利用して、データ・サイエンス・パイプラインをアイデア出しからデプロイ、そしてそれ以降も利用できるようしていくことが期待されています。要件に基づいてソリューションを設計し、顧客チームや必要に応じてシステムインテグレーターとの調整を行い、高度に技術的で実践的な役割となります。

スノーフレイクのAI/MLソリューションアーキテクトとして、以下のことを行っていただきます:

AI/MLワークロードに関連するSnowflakeのあらゆる側面に関する技術的専門家であること。

顧客の要件に基づき、Snowflakeの機能および/またはSnowflakeエコシステムのパートナーツールを使用したMLパイプラインの構築、デプロイ、導入。

SQL、Python、APIを使用して、GenAIおよびMLワークロード向けのSnowflakeテクノロジーの実装技術とベストプラクティスを実証するPOCを構築するために、必要に応じてハンズオンで作業する。

ベストプラクティスに従うこと(ナレッジトランスファーを確実に行うことを含む)。

AI/ML領域における競合および補完的なテクノロジーとベンダーを深く理解し、それらとの関係においてSnowflakeをどのように位置づけるかを維持する。

システムインテグレーターのコンサルタントと深い技術レベルで協働し、顧客環境におけるSnowflakeの位置付けと導入を成功させる。

顧客固有の技術的課題を解決するためのガイダンスを提供する。

プロフェッショナルサービスチームの他のメンバーの専門知識の向上をサポートする

製品管理、エンジニアリング、マーケティングと協力し、Snowflake製品とマーケティングの継続的な改善。

出張が可能で、25%はオンサイトで顧客と協働できる柔軟性。

理想的なソリューションアーキテクト(AI/ML)には以下のような資質が求められます:

プリセールスまたはポストセールスの技術的な役割において、顧客と協働した経験が10年以上あること。

ホワイトボードを使った即興のプレゼンテーション、またはプレゼンテーションやデモを使用した、技術的および経営幹部向けのプレゼンテーションスキル。

フィーチャーエンジニアリング、モデル開発、モデルデプロイメント、モデル管理など、データサイエンスのライフサイクル全般を熟知していること。

モデルのデプロイとモニタリングのための技術や方法論と組み合わせたMLOpsに関する深い理解。

少なくとも1つのパブリッククラウドプラットフォーム(AWS、AzureまたはGCP)の経験と理解。

少なくとも1つのデータサイエンスツール(AWS Sagemaker、AzureML、Vertex、Dataiku、DataRobot、H2O、Jupyter Notebooksなど)の使用経験。

大規模言語モデル、検索、エージェントフレームワークの経験。

SQLと、Python、R、Java、Scalaのうち少なくとも1つを使ったスクリプトの実地経験。

Pandas、PyTorch、TensorFlow、SciKit-Learnまたは類似のライブラリの使用経験

コンピュータサイエンス、エンジニアリング、数学、または関連分野の大卒、または同等の経験。

BONUS POINTS FOR HAVING:

Databricks/Apache Sparkの使用経験。

ETLツールを使用したデータパイプラインの実装経験。

データサイエンスの職務経験。

エンタープライズソフトウェアでの実績。

FSI、小売、製造などのコアバーティカルにおけるバーティカル専門知識。

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.


Required Skill Profession

Computer Occupations



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    Unlock Your Solutions Architect Potential: Insight & Career Growth Guide


  • Real-time Solutions Architect Jobs Trends in United States, United States (Graphical Representation)

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    Snowflake interview tips for Solutions Architect AI/ML

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