Intermediate AI/ML Developer

Key Responsibilities Design, develop, and deploy machine learning models to analyze sensor and IoT data for water quality and leak detection. Integrate geospatial datasets with real-time monitoring systems to provide actionable insights for water resource optimization. Collaborate with data engineers to build scalable data pipelines and maintain data quality. Translate business requirements into technical specifications and deliver robust, production-ready solutions. Participate in code reviews, performance tuning, and continuous improvement of AI/ML workflows. Requirements Proven experience with Python and popular ML libraries (scikit-learn, TensorFlow, PyTorch). Strong understanding of IoT data streams, time-series analysis, and geospatial data processing. Hands-on experience with cloud platforms (AWS, Azure, or GCP) for model deployment and data storage. Excellent problem-solving skills and ability to work independently in a fast-paced environment. Effective communication skills to collaborate with cross-functional teams. J-18808-Ljbffr