DIMITRA We are a leading provider of satellite/Drone data analytics and machine learning for precision agriculture. We collect data using various methods and devices, we integrate it and use machine learning to maximize the productivity of small/large farmers worldwide. ESSENTIAL DUTIES : Collect, process/transform satellite and drone datasets relevant to agriculture. Apply statistical analytics and/or machine learning techniques to design, code, deploy and maintain predictive models to ultimately maximize crops yields and profits. Create visualizations to derive insights, alerts, and recommendations for farmers. Model relationships between geospatial data and measurable phenomenologies. EDUCATION BS or MS in science or engineering. Knowledge of satellite/drone data machine learning analytics, satellite image processing, GIS, or related disciplines is a big plus. PREFERRED EXPERIENCE (ANY FEW ITEMS IS A BIG PLUS) Programming, machine/deep learning algorithms and modeling with geospatial data Software development, algorithmic scripting and modeling Machine learning model development, deployment, maintenance for agricultural systems; crop phenology and agricultural life cycles, weather and impact on production Satellite and/or drone imagery for agricultural applications, geospatial datasets Satellite remote-sensing data processing (particularly Landsat, Sentinel-1&2 and MODIS) Large and noisy geospatial datasets imagery and processing with GIS software Drone data interpretation and predictions by using machine learning and CNNs PREFERRED KNOWLEDGE (ANY FEW ITEMS IS A BIG PLUS) Google Earth Engine, experience developing Apps Satellite remote sensing, working with large geospatial datasets, processing satellite data for agricultural and/or weather/climate modeling Satellite Image processing algorithms, image sharpening, noise reduction, atmospheric corrections. GIS tools Strong software development and/or algorithmic scripting skills, including with AWS Machine Learning libraries and pipelines, Deep Learning, Convolutional Neural Networks, Computer Vision, Keras/TensorFlow, PyTorch Must have designed, trained, deployed and maintained models in production Statistical and non-statistical methods of hyperspectral image analytics
Job Title: Jr. Data Scientist (Master’s) with Jr. full stack developer (Bachelor’s) skills. Dimitra: We plan on becoming a leading provider of data analytics for precision agriculture. We develop various types of data science models and deploy them as apps for agriculture. Position Overview: We are looking for a hard working jr. data scientist with jr. full stack developer skills to deploy our data science models/apps and develop their frontends (react.js or next.js) and backends (python). This jr. developer will also work on developing machine/deep learning models. Responsibilities: Develop RESTful APIs using Python deployment stacks.. Integrate third-party APIs and external services to our applications. Design and implement data models and database schemas. Deploy data science apps and develop their frontends. Deploy in cloud environments, including AWS and Google Cloud Platform. Implement monitoring, logging, and alerting mechanisms to ensure performance. Work on a wide variety of data science (machine/deep learning) projects. Requirements: Must have a Bachelor's in Computer Science Must have a Master's degree in Machine Learning/AI or Computer Science Software development and/or algorithmic scripting skills, including Flask, Django, gunicorn, nginx, git, Docker, AWS services, Raster.io, and Next.js / React.js and security would be a big plus as well as skills in the following: RESTful APIs development using Python deployment stacks. Database technologies (e.g., SQL, NoSQL) and design of efficient data models. Cloud platforms (AWS, Azure, GCP) and deploying applications in containerized environments (Docker, Kubernetes). DevOps practices and tools for CI/CD automation (e.g., Jenkins, GitLab CI/CD). Machine learning model development, deployment, maintenance Machine Learning libraries and pipelines, Deep Learning, Computer Vision, LLMs, Keras/TensorFlow, PyTorch, Roboflow, Hugging Face, etc.
Dimitra: We plan on becoming a leading provider of data analytics for precision agriculture. We develop various types of data science models and deploy them as apps for agriculture. Position Overview: We are looking for a hard working data scientist with full stack developer skills to deploy our data science models/apps and develop their frontends (react.js or next.js) and backends (python). This jr. developer will also work on developing machine/deep learning models. Responsibilities: Develop RESTful APIs using Python deployment stacks.. Integrate third-party APIs and external services to our applications. Design and implement data models and database schemas. Deploy data science apps and develop their frontends. Deploy in cloud environments, including AWS and Google Cloud Platform. Implement monitoring, logging, and alerting mechanisms to ensure performance. Work on a wide variety of data science (machine/deep learning) projects. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Software development and/or algorithmic scripting skills, including Flask, Django, gunicorn, nginx, git, Docker, AWS services, Raster.io, and Next.js / React.js and security would be a big plus as well as skills in the following: RESTful APIs development using Python deployment stacks. Database technologies (e.g., SQL, NoSQL) and design of efficient data models. Cloud platforms (AWS, Azure, GCP) and deploying applications in containerized environments (Docker, Kubernetes). DevOps practices and tools for CI/CD automation (e.g., Jenkins, GitLab CI/CD). Machine learning model development, deployment, maintenance Machine Learning libraries and pipelines, Deep Learning, Computer Vision, LLMs, Keras/TensorFlow, PyTorch, Roboflow, Hugging Face, etc.