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Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. The Senior Staff Software Engineer, Autonomy Applications Engineering will provide collaborate with customers to help them enable edge-AI and autonomy to platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration. The Senior Staff Software Engineer, Autonomy Applications Engineering will provide collaborate with customers to help them enable edge-AI and autonomy to platforms across sea, air, and space. 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false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "ソリューションアーキテクト (プリセールス) Japan FEQ227R42 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、 X 、 LinkedIn 、 Facebook でDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： - あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 - 見込み客をDatabricksの評価と採用へ導きます。 - リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 - 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 - ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 - 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 - 顧客のユースケースのディスカバリー - 既存顧客のDatabricks環境の最適化 - Databricks製品改善のための活動 必要な条件/経験: - 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 - 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 - パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 - エンタープライズアカウントとの業務経験 - 日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること - データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: - データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい - Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 - Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 - データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 - 見込み客をDatabricksの評価と採用へ導きます。 - リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 - 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 - ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 - 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 - 顧客のユースケースのディスカバリー - 既存顧客のDatabricks環境の最適化 - Databricks製品改善のための活動 必要な条件/経験: - 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 - 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 - パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 - エンタープライズアカウントとの業務経験 - 日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること - データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: - データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい - Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 - Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 - データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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And be many things.” 私たちの成功法則 ラルフ ローレンは1967年以来、アメリカのデザインにエレガンスと生地の手触り、そしてエキサイトメントをもたらしてきました。私たちは一本一本の糸が洋服を作るために如何に重要かを理解しています。組織も同じように一人ひとりの存在が大切であると考えています。ぜひワールドクラスのチームにあなたも参加してください。ともに成功を祝い、研鑽し、前進をしていきましょう。 本社採用 リテール あなたのキャリアの旅はここから始まります 私たちはキャリアのスタートを切ったばかりの方から既に長く当社で働いている方まで、ひとりひとりの才能やスキル、そして夢に合わせたキャリアパスの形成を重視しています。 仕事だけにとどまらないライフスタイル… ラルフ ローレンでは職場以外でもあなたがより良い生活を送って頂くために、様々なプログラムを提供しています。 私たちはウエルネス（健康であること）、達成感を感じること、そしてもちろんショッピングを楽しむことをライフスタイルの大切な要素と考えています。 詳細を見る > ラルフ ローレンの世界へようこそ ラルフ ローレンの旅には常に進化と革新があります。チームにエキサイトメントをもたらすものは何か、ぜひご覧ください。 ラルフ ローレン オフィシャルサイト ラルフ ローレンは、性自認、性別表現、人種、宗教、国籍、性的指向、年齢、婚姻状況、障がい、その他該当する法律によって保護された区分の如何に関わらず、すべての人が快適に働くことができる包含的な労働環境を提供するために努力しています。 その他のアプリケーションサポートに関するお問い合わせは、 [email protected] までご連絡ください。 プライバシー通知 | 利用規約 | Cookie設定の管理 店舗ご案内 RalphLauren.com フォローする Facebook Twitter Instagram LinkedIn GlassDoor", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, 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"required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": true, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.ad4a5c3e6051318e07", "query_id": "gq_4638c645de4ba3061b61", "job_id": "5313ddf649494f848df55b93c9590765", "signal_type": "query_match", "display_text": "Description: \"linkedin\"", "tooltip": "Description matched \"linkedin\" from your 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