Industrial AI Expert

Overview: The Industrial AI Expert is responsible for designing, developing, deploying, and managing advanced Industrial AI solutions across multiple industrial domains and use cases. The role serves as a subject matter expert in Industrial AI, applying deep technical expertise to build scalable, production-ready AI applications that improve operational performance, reliability, safety, and efficiency. The position focuses on the end-to-end engineering lifecycle of Industrial AI products, including solution architecture, model development, deployment, integration, monitoring, and continuous optimization. The role collaborates closely with cross-functional teams and provides technical guidance and knowledge sharing while remaining an individual contributor without direct people management responsibilities.Key Responsibilities:• Design, develop, deploy, and maintain Industrial AI applications and products across diverse industrial use cases and operational environments.• Engineer and implement AI and machine learning solutions for predictive maintenance, anomaly detection, frontline diagnostics, corrosion prediction, production optimization, and energy optimization.• Develop intelligent digital assistants and autonomous operational workflows that enhance industrial decision-making and operational efficiency.• Translate business requirements and operational challenges into scalable, production-grade AI solutions and technical architectures.• Design and implement data pipelines, feature engineering processes, and model deployment frameworks that support reliable AI operations.• Integrate AI solutions with industrial systems, operational technologies, and enterprise platforms while ensuring interoperability and scalability.• Monitor model performance, manage model lifecycle activities, and continuously optimize solutions to maintain accuracy and business value.• Apply MLOps and AI engineering best practices to improve solution reliability, maintainability, and deployment efficiency.• Conduct technical assessments, proof-of-concepts, and feasibility studies for emerging Industrial AI technologies and use cases.• Troubleshoot complex technical issues and provide expert guidance on AI solution design, implementation, and optimization.• Contribute to engineering standards, reusable frameworks, and best practices to promote technical excellence and knowledge sharing across teams.• Collaborate with domain experts, data engineers, product teams, and business stakeholders to ensure successful solution delivery and adoption.Qualifications:Education:• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, Industrial Engineering, or related discipline (Master is preferred)• Professional certifications in Artificial Intelligence, Machine Learning, Cloud Platforms, Data Engineering, or MLOps are advantageous.Experience:• 8–12 years of experience software engineering, data science, artificial intelligence, or machine learning engineering.• Demonstrated experience in developing and deploying Industrial AI solutions in industrial, manufacturing, energy, utilities, or asset-intensive environments.• Hands-on experience across the full AI solution lifecycle, from data acquisition and model development to deployment and operational monitoring.• Experience delivering production-grade AI