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