Our Machine Learning Engineers are at the heart of turning raw data into intelligent applications. You’ll design scalable ML systems that support chatbots, predictive analytics, and geospatial intelligence from drone/satellite imagery. In this role, you’ll bridge the gap between theory and production by transforming models into robust, user-ready solutions that can handle real-world challenges. Whether it’s optimizing pipelines for faster model training, building RAG-enabled AI assistants, or working on remote sensing insights for agriculture, your work will directly contribute to solutions that drive industries forward. Responsibilities

Build ML pipelines for training, testing, and deployment. Optimize ML/DL models for performance and scalability. Work on geospatial imagery datasets (drone/satellite). Collaborate with data scientists and backend engineers. Maintain MLOps workflows and CI/CD pipelines. Preferred Qualifications

Bachelor’s/Master’s in Computer Science, ...