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Computer Vision Scientist (Geospatial Analysis)

5.00 to 10.00 Years   Bangalore   24 Mar, 2025
REKRUITERS RESOURCE MANAGEMENT LLP
Job LocationBangalore
EducationNot Mentioned
SalaryRs 5 - 12 Lakh/Yr
IndustryPower / Energy
Functional AreaGeology
EmploymentTypeFull-time

Job Description

    You should have a strong understanding and interest in remote sensing and coding. A superior academic record at a leading university in Computer Science, Data Science and Technology, Geoinformatics, Mathematics, Statistics, or a related field or equivalent work experience is preferable.We are seeking a highly skilled and innovative Computer Vision Scientist to join our team. The ideal candidate will have expertise in geographic information systems (GIS), hands-on experience with Apache Kafka, TensorFlow, and machine learning (ML) pipelines, and a strong background in computer vision. You will bring your familiarity and experience with satellite and aerial imagery, geospatial APIs and libraries, knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) and Understanding of Big Data frameworks (e.g., Spark, Hadoop) in geospatial contexts. Role is ideal for someone passionate about developing advanced geospatial applications, integrating cutting-edge technologies, and solving complex spatial data challenges. Key Responsibilities: Design, develop, and implement GIS-based applications and services. Create, manipulate, and analyze geospatial data Integrate geospatial data into larger software systems Machine Learning Pipelines: Build, optimize, and deploy ML pipelines for geospatial and computer vision tasks Leverage TensorFlow to create models for spatial analysis, object detection, and image classification Implement ML workflows from data ingestion to deployment and monitoring Kafka Integration: Develop real-time data streaming and processing workflows using Apache Kafka Design event-driven systems for geospatial and computer vision applications Ensure scalability, reliability, and efficiency in Kafka-based pipelines Computer Vision Applications: Apply computer vision techniques to geospatial data, satellite imagery, and aerial photography Develop and deploy models for tasks like feature extraction, land-use classification, and object recognition Collaborate with cross-functional teams, including data scientists, software engineers, and GIS analysts Proficiency in GIS tools Strong expertise in Apache Kafka for real-time data streaming. Experience with TensorFlow, Keras, or PyTorch for ML model development Knowledge of machine learning pipelines and tools (e.g., Kubeflow, Airflow). Hands-on experience with computer vision techniques and libraries (e.g., OpenCV, TensorFlow Object Detection API). Knowledge of geospatial data formats (e.g., GeoJSON, Shapefiles, Raster)

Keyskills :
visionapache kafkacomputer visiontensorflow

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