SatSure - Machine Learning Engineer II

Company Overview : SatSure is a deep-tech decision intelligence company that leverages satellite imagery, remote sensing, and machine learning to provide actionable insights for the agriculture, banking, and infrastructure sectors. By integrating multi-modal data sources, the company enables large-scale monitoring and risk assessment, helping organizations make data-driven decisions in complex environments. SatSure operates at the intersection of space technology and data science, fostering a culture of innovation and technical rigor to solve real-world challenges on a global scale. Role Overview : As a Machine Learning Engineer - 2, you will be responsible for building, scaling, and deploying sophisticated models that translate raw satellite data into high-value business intelligence. You will work closely with data scientists, geospatial analysts, and software engineers to bridge the gap between experimental research and production-grade systems. Your contributions will directly influence the accuracy and efficiency of our predictive platforms, ensuring that our clients receive reliable, timely insights that drive critical operational outcomes. Key Responsibilities : - Design and implement end-to-end machine learning pipelines to process large-scale geospatial datasets, ensuring high performance and scalability for production environments. - Optimize deep learning architectures for computer vision tasks, such as image segmentation and object detection, to improve the precision of land-use and crop-monitoring analytics. - Collaborate with cross-functional teams to integrate model outputs into existing software platforms, enhancing the overall utility of our decision intelligence tools. - Monitor and maintain model performance in production, proactively identifying drift and implementing retraining strategies to ensure consistent accuracy. - Automate data preprocessing and feature engineering workflows to reduce manual intervention and accelerate the development cycle for new analytical products. Required Skillset : - Demonstrated proficiency in building and deploying machine learning models using Python, with deep expertise in frameworks such as PyTorch or TensorFlow. - Strong understanding of computer vision techniques and experience working with multi-spectral or satellite imagery data. - Ability to write clean, maintainable code and manage complex data pipelines using cloud infrastructure like AWS or GCP. - Strong analytical mindset with the ability to communicate technical findings to non-technical stakeholders effectively. - A degree in Computer Science, Data Science, or a related quantitative field, reflecting a strong foundation in algorithms and statistical modeling. - Proven ability to thrive in a collaborative, fast-paced environment, contributing to team goals while maintaining high standards of engineering excellence.