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Job offer curation - ⁨Data Scientist⁩

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Senior Machine Learning Engineer

サグリ株式会社

  • Data Scientist
  • Machine Learning Engineer
  • AI
  • AWS
  • Python
  • Slack
  • GitHub
  • TypeScript
  • Notion
  • Git

# 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 techn

  • Company employee count 11 to 100

Other offers from this company

Software Engineer, Machine Learning

サグリ株式会社

  • AI
  • AWS
  • Python
  • Slack
  • GitHub
  • TypeScript
  • IoT
  • Notion
  • Git
  • Jira

Sagri is a pioneering social impact startup founded in 2018 with the vision of "realizing the coexistence of humanity and the earth." We utilize satellite data and AI technology to address global food crises and climate change challenges. Our core products - Actaba, Detaba, and Sagri - offer innovative solutions in agricultural management and optimization. We are now developing an advanced MRV (Measure, Report, and Verify) and decarbonization platform for agricultural enterprises, aimed at revolutionizing sustainability practices in the agricultural sector. <Software Engineer> #Job Description: We are seeking a Software Engineer to join our dynamic team and contribute to the development of our innovative AgriTech solutions, with a focus on our new MRV and decarbonization platform. This platform will integrate 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 an AI-driven platform for visualizing and managing Scope 3 Category 1 emissions for large agricultural enterprises - Creation of mobile and web applications 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: - Develop and maintain key components of our MRV and decarbonization platform - Work on complex data processing pipelines to handle satellite imagery and IoT data - Implement machine learning models for yield estimation, soil health analysis, and emission prediction - Create intuitive user interfaces for both web and mobile applications - Ensure seamless integration with third-party systems and applications through API development - Collaborate with cross-functional teams to align product development with user needs a

  • Salary ⁨¥⁩⁨4,000,000⁩ - ⁨9,000,000⁩
  • Company employee count 11 to 100

Other offers from this company

データ・サイエンティスト

第一生命保険株式会社

  • AI
  • AWS
  • Python
  • 機械学習
  • データ分析
  • Azure
  • SQL
  • 金融
  • Tableau
  • 新規事業

組織全体のデータ活用を推進し、ビジネス価値の最大化に貢献するデータ・サイエンティストを募集しています。膨大なデータを分析し、課題解決や意思決定の高度化を支援することで、事業の成長を牽引する重要な役割を担います。 具体的な職務内容 (雇入れ直後) 1.データ分析・モデル構築 ビジネス課題に応じたデータ分析、機械学習モデルの設計・構築・評価 Python、SQL等を用いたデータ処理・分析 分析結果を分かりやすく可視化し、関係者へ報告 2.データ活用推進・提案 社内外の多様なデータソースを活用し、業務改善や新規事業の提案 データドリブンな意思決定を促進するためのレポートやダッシュボードの作成 3.プロジェクト推進・連携 他部門やチームメンバーと連携し、データ活用プロジェクトをリード (変更の範囲)企画立案・折衝調整・コンサルティング・事務・管理等の業務全般 Position Summary: We are seeking a Data Scientist who will drive data utilization across the organization and contribute to maximizing business value. It is a key role in analyzing large-scale data, supporting advanced problem-solving and decision-making, and leading business growth. Candidates should possess expertise in statistical analysis, machine learning, and data engineering, as well as the ability to understand business challenges and communicate findings clearly. Curiosity for new technologies, a quick learning ability, and strong collaboration skills are also highly valued. Main Responsibilities : 1.Data Analysis & Model Development Design, build, and evaluate data analyses and machine learning models tailored to business challenges Process and analyze data using Python, SQL, etc. Visualize and clearly communicate analysis results to stakeholders 2.Data Utilization & Proposal Leverage diverse internal and external data sources to propose business improvements and new initiatives Create reports and dashboards to promote data-driven decision-making 3.Project Management & Collaboration Lead data utilization projects in collaboration with other departments and team members

  • Company employee count Under 10

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