GIS Developer - Artificial Intelligence/Machine Learning Solutions (3-8 yrs)

Role : GIS Developer - AI/ML

Experience : 3-8 years

Location : Bengaluru

Mode : WFO strictly

Mandatory skillset : Kafka, Tensorflow, ML Pipelines(Kubeflow, Airflow), Computer Vision (Open CV)

About the role :

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.

This 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.

- Build, optimize, 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.

- Develop real-time data streaming and processing workflows using Kafka.

- Design event-driven systems for geospatial and computer vision applications.

- Ensure scalability, reliability, and efficiency in Kafka-based pipelines.

- 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.

- Document workflows, processes, and technical details for easy replication and scalability.

- Provide technical support and troubleshooting for GIS and ML-related challenges