-Coordinate and manage the progress of multiple AI and ML initiatives, ensuring alignment with business goals and timeline

-Offer expert guidance, support, and mentorship to data scientists, AI engineers, and cross-functional project teams to drive successful AI/ML implementations.

-Leverage cloud platforms (e.g., AWS, Google Cloud, Azure) for scalable AI/ML solutions, including data storage, processing, and model deployment. Ensure that cloud solutions comply with industry regulations and security standards.

-Provide consulting services to clients especially in Utility sector

Leverage cloud platforms (e.g., AWS, Google Cloud, Azure) for scalable AI/ML solutions, including data storage, processing, and model deployment. Ensure that cloud solutions comply with industry regulations and security standards.

-Minimum 10 years of relevant experience in AI/ML, data science, or related digital technology fields, with hands-on involvement in developing and deploying machine learning models.

-Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or a related field from an accredited institution. A Ph.D. in a relevant discipline is a plus.

-Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R), and tools for data analysis and AI model development.

-Strong knowledge and background in Automatic Metering Infrastructures (AMI) across water and electricity, with the ability to integrate AI/ML solutions into AMI systems to improve efficiency and decision-making processes.