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


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


  • Job Details

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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide


Real-time Solutions Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Solutions Architect in United States, United States, highlighting market share and opportunities for professionals in Solutions Architect roles.

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Are You Looking for Solutions Architect AI/ML Job?

Great news! is currently hiring and seeking a Solutions Architect AI/ML to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Snowflake adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Solutions Architect AI/ML Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Solutions Architect AI/ML?

Key qualifications for Solutions Architect AI/ML typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Solutions Architect AI/ML?

To improve your chances of getting hired for Solutions Architect AI/ML, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Solutions Architect AI/ML Job Success

Snowflake interview tips for Solutions Architect AI/ML

Here are some tips to help you prepare for and ace your Solutions Architect AI/ML job interview:

Before the Interview:

Research: Learn about the Snowflake's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Solutions Architect AI/ML interview at Snowflake, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Snowflake's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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