【ML Engineer】AgriTech Company / Hybrid Work / JLPT N2 level

★ML Engineer | Tech Pioneer Selected by the World Economic ForumBusiness Level Japanese Required (N2 Level)★Hybrid Work & Flextime★Famous Venture Company★High Social Impact◆ Annual Salary： 4 million ～ 9 million yen.-------------【About the company】-------------Creating New Business through Satellite Data Analysis and Machine Learning-------------【 Job Description】-------------As a Machine Learning Engineer in the Farmland Utilization Division, you'll contribute to the development and improvement of the company's in-house machine learning models.These services use satellite data and AI technology to solve the challenges facing Japanese agriculture, such as identifying abandoned farmlands, streamlining crop surveys, and matching farmland to users.#Responsibilities・Developing and optimizing machine learning models that use satellite data to detect abandoned farmland, estimate crop yields, and analyze soil conditions.・Developing algorithms for farmland status analysis using image processing technology.・Designing and implementing data pipelines to efficiently process large datasets.・Evaluating model performance and driving continuous improvements.・Deploying and operating machine learning models in a production environment.・Researching new machine learning technologies and exploring their potential applications in services.・Collaborating and sharing knowledge with other engineers on the team.■Development Environment・Languages: Python, TypeScript・ML Frameworks: TensorFlow, PyTorch, scikit-learn・Cloud: AWS (SageMaker, EC2, S3, etc.)・Version Control: Git, GitHub・Communication Tools: Slack, Notion#AttractivenessYou'll get to directly contribute to solving the challenges facing Japanese agriculture by leveraging cutting-edge AI technology. By developing innovative services using satellite data and machine learning, you'll have the opportunity to help reduce abandoned farmland, promote efficient land use, and revitalize local communities. This is a chance to hone your machine learning skills while making a significant social impact at a rapidly growing startup.The company is an equal opportunity employer and highly values diversity. If you have a passion for agriculture and revitalizing local communities, and you want to use AI to drive innovation, they are looking forward to your application.-------------【 Requirements】-------------【MUST】・3+ years of practical experience as a Machine Learning Engineer or Data Scientist・Experience developing machine learning models using Python・Experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn・Experience in image processing or geospatial data analysis・Experience processing large-scale datasets・Experience deploying machine learning models on cloud platforms such as AWS・Knowledge of Geographic Information Systems (GIS) is a plus・Experience in the agritech field is a plus・English communication skills (reading and writing)・Japanese language proficiency at N2 level or higher【Ideal Applicants】・Interested in agriculture and regional revitalization, seeking to contribute to society through AI technology・Proactively learns and applies new machine learning technologies and ideas・Possesses data-driven decision-making and problem-solving skills・Values communication both within and outside teams, working collaboratively・Understands the needs of local governments and agricultural stakeholders, translating them into technical solutions--------------------------------------------------【Working Time 】Flextime System【 Welfare 】・Annual Holidays: You'll have over 120 days off per year, including a two-day weekend (Saturday and Sunday) and national holidays.・Paid Leave: You'll be granted 10 days of paid leave on your start date.・Family Support: You can take maternity, paternity, and family care leave immediately upon joining the company.・Other Leave: Other leave is available for injury or illness.・Remote Work: Remote work is an option, with a recommendation to come into the office three days a week.・Commuting Allowance: Commuting costs are covered according to company policy.・Social Insurance: The company provides comprehensive social insurance.・Smoking Policy: The entire office is non-smoking.-------------------------------------------------------------------------