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About the job: We are looking for a motivated 'Software Developer - AI & Geospatial Technologies' to join our team and work on real-world applications involving artificial intelligence, machine learning, computer vision, GIS, remote sensing, and geospatial data. The ideal candidate should have a strong foundation in Python and software development, along with an interest in applying AI/ML to geospatial and agricultural datasets. This role will involve developing end-to-end solutions, from data processing and model development to application development and deployment. Key responsibilities:- 1. Develop and maintain Python-based software applications for AI, computer vision, GIS, and geospatial use cases. 2. Process, analyze, and visualize geospatial data including satellite imagery, drone/UAV imagery, raster data, vector data, shapefiles, GeoJSON, and spatial datasets. 3. Develop and integrate machine learning and deep learning models for image analysis, object detection, segmentation, classification, prediction, and other AI applications. 4. Build data-processing pipelines for large-scale imagery and geospatial datasets. 5. Work with GIS libraries and tools such as GeoPandas, Rasterio, Shapely, GDAL, and related geospatial technologies. 6. Develop APIs and software components to integrate AI/ML models into production applications. 7. Work with databases and SQL for storing, querying, and managing structured and geospatial data. 8. Collaborate with data scientists and domain experts to convert real-world problems into reliable software and AI solutions. 9. Write clean, modular, reusable, and well-documented code following good software engineering practices. 10. Use Git/GitLab for version control, collaborative development, and code management. 11. Debug, test, optimize, and improve existing applications and AI/ML pipelines. 12. Contribute to the deployment and maintenance of AI/Geospatial applications in development and production environments. Technologies You May Work With:- Python, Machine Learning, Deep Learning, Computer Vision, PyTorch/TensorFlow, OpenCV, GeoPandas, Rasterio, Shapely, GDAL, QGIS, PostGIS/SQL, REST APIs, Git/GitLab, Docker, Streamlit, and cloud/compute platforms. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: 4,20,000 - 6,00,000 /year Experience: No experience required Deadline: 2026-09-05 23:59:59 Other perks: Informal dress code, 5 days a week, Free snacks & beverages, Cab/Transportation facility Skills required: Python, SQL, Git, Machine Learning, Computer Vision, Deep Learning and GIS Other Requirements: 1. Bachelor's or master's degree in computer science, information technology, data science, artificial intelligence, geoinformatics, GIS, remote sensing, engineering, or a related field.2. Strong programming fundamentals and good problem-solving skills. Candidates should be comfortable writing Python code independently.3. Prior academic, personal, internship, or project experience in AI/ML, Computer Vision, GIS, Remote Sensing, image processing, or geospatial applications will be an advantage.4. Freshers or candidates with up to 2 years of experience who are interested in building practical software using AI and Geospatial technologies.5. Candidates who have worked on projects involving satellite/drone imagery, computer vision, object detection, image segmentation, GIS applications, spatial analysis, or machine learning are encouraged to apply. About Company: Corteva Agriscience, the world's first dedicated agriculture start-up, serves to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. Our employees fulfill this purpose every day by building/participating in an inclusive culture where we encourage each other to stay curious, think differently, act boldly, and do what's right for our customers, our coworkers, our partners, and our planet. With over 20,000 team members from 130 countries, innovating in 140 world-class R&D facilities, we have the resources, leadership heritage, and partner ecosystem to make a meaningful impact now and into the future .
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.