15件の東京都でのanalytics engineerのおすすめの求人

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サグリ株式会社 —新宿区
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株式会社ネックサス —東京都 23区
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【テクノロジー】AI/データ活用プラットフォーム企画・構想支援/生成AIサービス開発(PM・コンサル)<549>
NTT株式会社 —東京都 23区
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株式会社FLASH —目黒区中目黒
- 年収 600万円 ~ 1,300万円
- CRMソフトウェア
- 管理職・マネジメント経験
- プロジェクトマネジメント
- 有給休暇あり
Senior Data Scientist
サグリ株式会社 —新宿区
- 年収 600万円 ~ 1,000万円
- AWS
- 機械学習
- Python
- 育休あり
シニアエンジニア
株式会社タンプ —品川区東五反田
- 年収 600万円以上
- データ分析
- リーダーシップ
- 有給休暇あり
Customer Success Technical Leader (Technical Account Manager : Splunk)
Cisco Systems —港区
- Azure
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Solution Architect
ServiceNow —千代田区有楽町
- 一部在宅
- CAD
- 顧客対応
クイック応募
Cloud Infra Project Technical Lead
IZUMI NETWORK —東京都 23区
- 年収 800万円 ~ 1,000万円
- 二か国語
- 英語
- 大卒
クイック応募
Senior BI Development Leader/シニアBI開発リーダー
Quest Global —品川区
- 二か国語
- Microsoft Access
- 管理職・マネジメント経験
- 有給休暇あり
- 育休あり
クイック応募
Sr. Services Sales Account Executive -Tokyo
Extreme Networks —東京都
- 一部在宅
- 管理職・マネジメント経験
- 営業経験
クイック応募
Automotive GenAI Presales Manager - Bilingual【IoTDE - No.334】
日本タタ・コンサルタンシー・サービシズ株式会社 —港区
- 一部在宅
- 二か国語
- Azure
- 英語
テクニカルセールスサポート/Technical Sales Support
ABB K.K. —品川区
- 営業経験
- 英語
- プレゼンテーションスキル
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Senior Machine Learning Engineer/Engineering Dept.

サグリ株式会社
新宿区

今すぐ応募する

求人の詳細

資格とスキル

Jira
TensorFlow
Slack
Amazon SageMaker
NoSQL
Git
日本語
マイクロサービス
AWS
機械学習
経理・会計
GitHub
TypeScript
Python
Amazon EKS

仕事内容の詳細

Senior Machine Learning Engineer

仕事概要

# Job Description We are seeking a Senior Machine Learning Engineer to join our dynamic team and lead the development of machine learning components for our innovative MRV and decarbonization platform. This role will be crucial in integrating advanced AI, satellite remote sensing, and comprehensive carbon footprint tracking to provide a holistic solution for agricultural enterprises, government agencies, and farmers. # Key Project Focus: Development of AI-driven systems for visualizing and managing Scope 3 Category 1 emissions for large agricultural enterprises Creation of machine learning models for yield estimation and soil health analysis using satellite data Implementation of advanced analytics and machine learning models for emission prediction and reduction recommendations Integration of data from various sources including satellite imagery, IoT devices, and local soil analysis facilities # Responsibilities: Lead the research, development, and implementation of machine learning systems for the MRV platform Identify and implement the most effective algorithms, refining models to achieve peak performance Assess and analyze the efficacy of models, recommending enhancements as needed Integrate machine learning models into production environments Work on complex data processing pipelines to handle satellite imagery and IoT data Collaborate with cross-functional teams to align ML development with user needs and regulatory requirements Mentor junior team members and contribute to the growth of the machine learning team # Our Tech Stack: Languages: Python, TypeScript Machine Learning: TensorFlow, PyTorch Cloud: AWS (EC2, EKS, S3, SageMaker, etc.) Version Control: Git, GitHub Project Management: JIRA Communication Tools: Slack, Notion # Why Join Sagri? At Sagri, you'll have the opportunity to leverage cutting-edge machine learning and satellite technology to combat climate change and revolutionize sustainable agriculture. You'll work on projects with significant social impact while tackling complex technical challenges in a fast-growing startup environment. Join us in our mission to create a more sustainable and resilient agricultural ecosystem for generations to come. Sagri is an equal opportunity employer and values diversity in all forms. We encourage candidates from all backgrounds to apply and help us cultivate a more inclusive and sustainable future.

必須スキル

◆Requirements: 5+ years of work experience as a Machine Learning Engineer or Data Scientist, with at least 2 years in a leadership role Strong proficiency in Python and experience with cloud platforms (AWS) Extensive experience with machine learning frameworks and data processing technologies Experience with satellite image processing and geospatial data analysis Knowledge of carbon accounting principles and environmental reporting standards Experience tech leading cross-team engineering efforts Strong software engineering practices including debugging/profiling, version control, and system design Excellent problem-solving skills and ability to work in a fast-paced, innovative environment For Tokyo-based positions: Business-level Japanese language proficiency (both written and spoken)

歓迎スキル

◆Preferred Qualifications: Experience with or understanding of satellite-based remote sensing and agriculture Knowledge of microservices architecture and experience with database systems (RDBMS/NoSQL) Familiarity with monitoring systems, logging, operations, and SLO/SLA concepts Experience working in AgriTech or environmental sustainability sectors

求める人物像

◆Who We're Looking For: Individuals who resonate with Sagri's vision, mission, and values Passionate about solving societal issues through advanced machine learning techniques Highly motivated to learn new skills and value team communication Responsive to customer feedback and able to translate business needs into technical solutions Thrive in a fast-paced environment and embrace significant changes

応募概要

給与

Negotiable ＜Scope of change: All assignments are subject to reassignment (including transfers to other companies).

勤務地

◆Tokyo Head Office Room 507, Cross Office Shinjuku, 1-12 Nishi-Shinjuku 7-chome, Shinjuku-ku, Tokyo 160-0023 ◎Nearest Stations - Toei Oedo Line: “Shinjuku-Nishiguchi” Station, 1-minute walk from Exit D5 - JR Lines / Keio Line / Keio New Line / Odakyu Electric Railway / Tokyo Metro Marunouchi Line / Toei Shinjuku Line / Toei Oedo Line: “Shinjuku” Station, West Exit (5-minute walk) - Seibu Shinjuku Line: “Seibu Shinjuku” Station (5-minute walk) <Regarding the Scope of Assignment Changes> Immediately after hiring: As specified in the job posting Scope of changes: Assignment transfers to all types of duties are possible (including secondments while remaining on the company’s payroll)

雇用形態

full-time

勤務体系

Working hours Flextime system introduced (with core hours) Start time: 6:00 - 10:00 End time: 15:00 - 22:00 Core hours: 10:00 - 15:00 Break time: 1 hour Holidays More than 120 days off per year In principle, 2 days off per week (Saturday and Sunday), national holidays

福利厚生

Benefits ・Transportation expenses paid ・Annual paid leave ・Paternity leave, childcare leave,Nursing care leave, family care leave, leave for work-related injury or illness, etc. Social insurance (unemployment insurance, workers' accident compensation insurance, health insurance, and employee pension insurance) No smoking indoors

企業情報

企業名

サグリ株式会社

設立年月

2018年6月

本社所在地

〒669-3602 兵庫県丹波市氷上町常楽725-1

資本金

3000万円

従業員数

51名（2025年3月末時点）

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