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Lead Geospatial Innovator with Expertise in Data Pipelines and Computer Vision
2 weeks ago
Geospatial Innovation at Quenext Decision Science Technology Pvt Ltd
About the RoleWe are seeking a highly skilled Lead Geospatial Innovator 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, as well as a strong background in computer vision.
This role is ideal for someone passionate about developing advanced geospatial applications, integrating cutting-edge technologies, and solving complex spatial data challenges.
Main Responsibilities- Geospatial Application Development:
- 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.
- Stay updated on advancements in CV to enhance project outcomes.
- Collaboration and Documentation:
- Collaborate with cross-functional teams, including data scientists, software engineers, and GIS analysts.
- Document workflows, processes, and technical details for easy replication and scalability.
- Provide technical support and troubleshooting for GIS and ML-related challenges.
- Bachelor's or Master's degree in Computer Science, Geospatial Science, Data Science, or a related field.
- 3+ years of experience in GIS development, machine learning, or computer vision.
- 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).
- Strong programming skills in Python, Java, or C++.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for ML and GIS deployment.
- Knowledge of geospatial data formats (e.g., GeoJSON, Shapefiles, Raster).
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work in a dynamic and fast-paced environment.
- A passion for geospatial technology and innovation.
- Experience with satellite and aerial image analysis.
- Familiarity with geospatial APIs and libraries.
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Understanding of Big Data frameworks (e.g., Spark, Hadoop) in geospatial contexts.
