Computer Vision Scientist

About the job

Designation – Computer Vision Scientist (Geospatial Analysis) Location - Bangalore Position - Full-Time (No Hybrid) Company QueNext About Us AI ML Startup set up in 2015 which is in the domain of power, banking, agriculture sector etc. and working directly with Karnataka Govt to offer insights and decisions. You will be part of the team that is delivering large transformational projects to energy utilities, banks and government bodies utilizing our in-house patented AI-driven products. You will be working on cutting edge geospatial technologies with a steep learning curve and working alongside the founders from Indian Statistical Institute (ISI) and INSEAD and a team of data scientists and programmers in a collaborative and innovative environment. 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. Key Responsibilities: GIS 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 Technical Skills: • 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).

Requirements

• GIS
• Apache Kafka
• TensorFlow
• Python
• Java
• C++

Preferred Technologies

• GIS
• Apache Kafka
• TensorFlow
• Python
• Java
• C++

About the company

Stellaspire is a startup established in 2015 that works in AI and ML across various sectors such as power, banking, and agriculture, collaborating with governmental bodies for innovative solutions.