Senior Software Engineer, Machine Learning

**Company: Sagri Job Description Summary: Sagri is a social impact startup that uses satellite data and AI technology to tackle global food crises and climate change challenges. They offer services like Actaba, Detaba, and Sagri, each providing innovative solutions in agricultural management. They are looking for candidates who are passionate, fast learners, and ready to make a societal impact. The services aim to support sustainable agriculture, reduce carbon emissions, and improve farmers’ profitability. They are seeking a Machine Learning Engineer or Data Scientist with leadership experience, experience with machine learning and cloud providers, and a passion for environmental sustainability. Responsibilities include developing and implementing machine learning systems and integrating models into production. They value individuals who resonate with their vision, are motivated to solve societal issues through software engineering, value teamwork and communication, and are open to learning and acquiring new skills. Previous experience with satellite-based remote sensing and agriculture is a plus. Job Description: Join Sagri, a pioneering social impact startup utilizing satellite data and AI technology to address global food crisis and climate change challenges. Be part of a dynamic team using satellite data and AI technology to address global food crises and climate change. You’ll be able to develop unique services like Actaba, Detaba, and Sagri, each offering distinct, innovative solutions in agricultural management and optimization. Embrace a role where job titles do not limit your technical skills and creativity but are harnessed to tackle diverse, impactful challenges. Ideal candidates are passionate, fast learners ready to make a significant societal impact and thrive in a collaborative, fast-paced startup environment. With your software engineering expertise, join us to drive meaningful change and shape a sustainable future. We provide three primary services. Actaba: this service focuses on surveying the use of agricultural land. It’s already deployed in over 40 municipalities and aims… to expand further, evolving based on customer feedback. Actaba stands out as it has no direct competitors and has received positive evaluations from its users. Detaba: this is an app for surveying crop planting. Utilizing satellite imagery, Detaba infers the crops planted in a given area. This aids municipalities in ensuring lands are used as declared, simplifying the process of granting subsidies and gathering statistical data. Sagri: an app tailored for farming operations. It assists in optimizing fertilizer use by analyzing soil components through satellite imagery. Minimizing excess fertilizer use reduces workload and addresses environmental concerns like global warming. Sagri is currently under joint development with WAGRI, aiming to enhance agricultural data integration and provision. These services aim to support sustainable agriculture, reduce carbon emissions, and improve farmers’ profitability by leveraging carbon credits, particularly in emerging countries. Who You Are • 5+ years of work experience as a Machine Learning Engineer or Data Scientist with at least two years in a leadership role. • Experience tech leading cross-team engineering efforts. • Experience with Machine learning and statistics at scale, with an ability to apply these skills to new domains such as satellite-based remote sensing. • Strong software engineering practices and a background in Python programming, debugging/profiling, version control, and system design. • Hands-on experience with at least one cloud provider, such as GCP, AWS, or Azure. • Comfort with fast-paced execution and rapid iteration startup environment. Excited by the product impact. • Passion for environmental sustainability and a desire to make a meaningful impact on the planet. What You’ll Do • Conduct research, develop, and implement machine learning systems for recommendation systems. • Identify the most effective algorithms and refine models to achieve peak performance. • Assess and analyze the efficacy of models, recommending enhancements as needed. • Integrate machine learning models into production. • Continuously update knowledge on cutting-edge machine learning technologies and practices. • Lead and manage crucial stages of the machine learning project lifecycle. Who we want to work with: • Resonate with Sagri’s vision, mission, and values • Have the desire to solve societal issues through software engineering • Value team communication and information sharing, highly motivated to learn and acquire new skills • Keen on listening to customer feedback and responding earnestly • Enjoy working in a fast-paced environment, embracing significant changes. Here are some things we value but don’t expect all: • Have worked with or experienced in satellite-based remote sensing, and have some understanding of agriculture

Company:Sagri

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Level of experience (years):Senior (5+ years of experience)