Computer Vision Engineer
1 week ago
About KaleidEO
KaleidEO, a subsidiary of SatSure, is investing in launching its own fleet of earth observation satellites. We are seeking an Image Processing wizard to own and nurture the logical pipeline that delivers the best geospatial images and products.
SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground.
If you are interested in working in a space tech analytics domain driven by cutting-edge technology on the edge as well as on the ground for solving complex data problems using Multi-Sensor Earth Observation data you will have the freedom to work on innovative ideas and be creative with no hierarchies, KaleidEO us the place for you.
Role &Responsibilities:
●To create inventive solutions and prototypes utilizing high-resolution Earth observation datasets to address business requirements in geospatial intelligence applications.
●To Lead the entire research and development lifecycle.
●To develop and deploy cutting-edge deep learning and machine learning algorithms within the realm of computer vision for analyzing high-resolution earth observation datasets. Additionally, generate artifacts related to model validation, evaluate process results, prepare presentations, and publish new research findings.
●To collaborate effectively with the technical and non-technical team members to achieve the desired benchmarks within the given time frame. Also, demonstrate effective and empathetic communication skills to facilitate better decision-making across multiple stakeholders.
Qualification:
●Master’s degree or Ph.D. degree in Mathematics or Computer Science, coupled with prior experience in remote sensing and computer vision.
●A minimum of 4-5 years of industrial experience is required.
Must-Have
●Hands-on experience with Computer Vision libraries such as OpenCV, Scikit-Image, and Boost.
●Excellent coding skills in Python and C++.
●Expertise in Deep Learning for semantic and instance segmentation, object detection.
●Knowledge of Geospatial libraries & APIs, including GDAL, RasterIO, GeoPandas, and Shapely, is essential.
●Experience with Cloud Platforms especially with Amazon AWS and on-prem hardware is must to have.
●Familiarity with DevOps tools like Docker, Git, and Kubernetes is a plus.
●Experience with various machine learning algorithms and feature reduction techniques.
●Strong understanding and familiarity with data science lifecycle practices.
Good to Have
●Hands-on experience and knowledge of Deep Learning libraries, algorithms such as TensorFlow & Keras, PyTorch, FastAI, U-Net, YOLO >= 5, Mask-R CNN, and Segment Anything (SAM) will be considered as a strong asset in the candidate.
●Familiarity with popular satellite imaging sensors, such as Optical (Maxar, Airbus, Planet, Satellogic, BlackSky, Sentinel-2) and SAR (Umbra, Capella, Sentinel-1) will be considered as a strong asset in the candidate.
Benefits:
●Medical Health Cover for you and your family including unlimited online doctor consultations.
●Access to mental health experts for you and your family.
●Dedicated allowances for learning and skill development.
●Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves.
●Twice a year appraisal.
Interview Process:
●Introductory call
●Interview rounds (ideally up to 3-4 rounds)
●Culture Round / HR round
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