LabBase Plus celebrates pride
Search
Click to replace search prompt
Cancel
  • Click to replace search prompt Search broadly for image detection job offers Click to replace search prompt
  • Click to replace search prompt I want to find companies developing LLM Click to replace search prompt
  • Click to replace search prompt I want to work in the medical field Click to replace search prompt
  • Click to replace search prompt Find jobs in consulting that utilizes data science and AI Click to replace search prompt

Senior Machine Learning Engineer

Sagri Co., Ltd.

  • Company employee count 11 to 100

Job Summary

# 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 Info

Sagri Co., Ltd. is a smart agriculture data service and platform company that utilizes satellite data and AI technology to address global challenges such as food crises and climate change. The company develops and provides a data platform business that incorporates satellite data analysis, machine learning, and zoning technology to visualize agricultural land conditions, detect abandoned farmlands, identify crop types, and facilitate farmland matching. Their services, including "Actaba" for abandoned farmland detection, "Detaba" for crop classification, and "Ninataba" for farmland matching, aim to optimize agricultural land use, support sustainable farming practices, and contribute to carbon credit generation and greenhouse gas reduction in agriculture. Founded in 2018 in Tamba City, Hyogo Prefecture, Japan, Sagri delivers its services to agricultural sites in Japan, Asia, Africa, and Central and South America, with a mission to achieve the coexistence of humanity and the Earth through visualizing farmland and creating value.

Login to see all information about offers.

By registering with LabBase Plus you...

Picture of search page on product

You can select from our vast stock of job offers.

  • Can view all curation offers.
  • Receive notifications of new offers added to curations.
  • Possibly be scouted by corporations.
  • Search for companies with unique technologies.
  • Search for job offers in areas like inorganic chemistry material science.

Registration takes roughly 2 minutes